Asian Journal of Civil Engineering最新文献

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Integrating machine learning in digital architecture: enhancing sustainable design and energy efficiency in urban environments 在数字建筑中集成机器学习:增强城市环境中的可持续设计和能源效率
Asian Journal of Civil Engineering Pub Date : 2024-11-21 DOI: 10.1007/s42107-024-01224-4
Ma’in F. Abu-Shaikha, Mutasem A. Al-Karablieh, Akram M. Musa, Maryam I. Almashayikh, Razan Y. Al-Abed
{"title":"Integrating machine learning in digital architecture: enhancing sustainable design and energy efficiency in urban environments","authors":"Ma’in F. Abu-Shaikha,&nbsp;Mutasem A. Al-Karablieh,&nbsp;Akram M. Musa,&nbsp;Maryam I. Almashayikh,&nbsp;Razan Y. Al-Abed","doi":"10.1007/s42107-024-01224-4","DOIUrl":"10.1007/s42107-024-01224-4","url":null,"abstract":"<div><p>The following work applies metaheuristic optimization algorithms—PSO, ACO, Genetic Algorithm, and Enhanced Colliding Bodies Optimization (ECBO)—to the optimum design of a sustainable building with respect to prominent metrics such as energy savings, improvement in indoor comfort, and reduction in carbon footprint. These algorithms are applied to a wide dataset that includes variable intensity factors such as window-to-wall variation ratio, HVAC efficiency, and integration of renewable energy. Results also proved that PSO is the fittest strategy to balance energy efficiency and sustainability, with the highest energy savings of 24.1%. Besides, PSO wasn’t just the fastest convergence rate; it also obtained a Platinum LEED certification. ACO was second in order of magnitude, with high energy savings and carbon footprint reduction values, and also obtained the Platinum LEED certificate. The results obtained for GA were positive from the occupant comfort point of view but were slower in terms of energy savings and convergence speed. In contrast, ECBO had the slowest convergence and lowest energy savings, demonstrating the limitation of the application of ECBO for large-scale multi-objective optimization. These results imply that PSO and ACO would be suitable for practical applications linked to urban sustainable design, while GA and ECBO are more suited for niche applications. The obtained results can provide useful guidelines in developing more energy-efficient and sustainable designs for architects, urban planners, and policymakers.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"813 - 827"},"PeriodicalIF":0.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142995710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling compressive strength and environmental impact points of fly ash-admixed concrete using data-driven approaches 基于数据驱动方法的掺加粉煤灰混凝土抗压强度和环境影响点建模
Asian Journal of Civil Engineering Pub Date : 2024-11-20 DOI: 10.1007/s42107-024-01223-5
Sandeep Singh, Y. R. Meena, Srinivasa Rao Rapeti, Navin Kedia, Salman Khalaf Issa, Haider M. Abbas
{"title":"Modeling compressive strength and environmental impact points of fly ash-admixed concrete using data-driven approaches","authors":"Sandeep Singh,&nbsp;Y. R. Meena,&nbsp;Srinivasa Rao Rapeti,&nbsp;Navin Kedia,&nbsp;Salman Khalaf Issa,&nbsp;Haider M. Abbas","doi":"10.1007/s42107-024-01223-5","DOIUrl":"10.1007/s42107-024-01223-5","url":null,"abstract":"<div><p>This study examined the capability of white-box machine learning methods in the intelligent design of concrete technology. Therefore, three data-driven methods, multivariate adaptive regression splines (MARS), gene expression programming (GEP), and group method of data handling (GMDH) approaches, were adopted to model the compressive strength (CS) and environmental impact points (P) of fly ash admixture concrete. The main feature of the proposed methods is that they provide formulas for predicting CS and P. The study's findings indicated the acceptable performance of the suggested methods in concrete technology. In general, the MARS approach for the estimation of CS is more acute than the GMDH and GEP approaches. In addition, MARS had results similar to those of the evolutionary polynomial regression (EPR) model generated in the earlier research to predict CS. Moreover, the MARS model performs slightly better than EPR for predicting P. It is noteworthy that MARS presented more straightforward equations than EPR for predicting CS and P. Sensitivity analysis indicated a more effective parameter on CS and P. The accuracy of the developed models was assessed through statistical parameters and scatter, Taylor, and Violin plots. The presented predictive models can have practical applications in the construction of buildings.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"795 - 811"},"PeriodicalIF":0.0,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142995002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using machine learning approaches for predicting the compressive strength of ultra-high-performance concrete with SHAP analysis 利用机器学习方法预测高性能混凝土的抗压强度与SHAP分析
Asian Journal of Civil Engineering Pub Date : 2024-11-18 DOI: 10.1007/s42107-024-01195-6
Suhaib Rasool Wani, Manju Suthar
{"title":"Using machine learning approaches for predicting the compressive strength of ultra-high-performance concrete with SHAP analysis","authors":"Suhaib Rasool Wani,&nbsp;Manju Suthar","doi":"10.1007/s42107-024-01195-6","DOIUrl":"10.1007/s42107-024-01195-6","url":null,"abstract":"<div><p>Ultra-high-performance concrete (UHPC) is a special construction material that is renowned for its exceptional mechanical properties and durability. Machine Learning (ML) methodologies have become essential methods for predicting the compressive strength (CS) of UHPC and identifying critical independent variables that are essential for optimal mix design. This study predicted the CS of UHPC using three ML models: artificial neural networks, M5P, and random forest. Various measures, including R, RMSE, RAE, MAE, and RRSE were employed to assess the performance of these models. A total of 810 observations were gathered, with 80% designated for training and the remaining 20% for testing. The RF model demonstrated superior performance compared to the other models, attaining a testing phase R-value of 0.98, MAE of 6.35, RMSE of 8.49, RRSE of 21.90%, and RAE of 21.21% through statistical analysis. The findings indicate that the variable “age” exerted the most significant influence on the model’s dependent variable, evidenced by a SHAP value of 23.06. ML techniques provide substantial benefits to the construction sector by facilitating faster and more accurate evaluations of material attributes.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 1","pages":"373 - 388"},"PeriodicalIF":0.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142906047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimizing time, cost, environmental impact, and client satisfaction in sustainable construction projects using LHS-NSGA-III: a multi-objective approach 利用LHS-NSGA-III优化可持续建设项目的时间、成本、环境影响和客户满意度:多目标方法
Asian Journal of Civil Engineering Pub Date : 2024-11-15 DOI: 10.1007/s42107-024-01221-7
Amir Prasad Behera, Amit Dhawan, V. Rathinakumar, Manish Bharadwaj, Jay Singh Rajput, Krushna Chandra Sethi
{"title":"Optimizing time, cost, environmental impact, and client satisfaction in sustainable construction projects using LHS-NSGA-III: a multi-objective approach","authors":"Amir Prasad Behera,&nbsp;Amit Dhawan,&nbsp;V. Rathinakumar,&nbsp;Manish Bharadwaj,&nbsp;Jay Singh Rajput,&nbsp;Krushna Chandra Sethi","doi":"10.1007/s42107-024-01221-7","DOIUrl":"10.1007/s42107-024-01221-7","url":null,"abstract":"<div><p>This paper introduces a comprehensive multi-objective optimization model for sustainable construction projects, targeting the minimization of project duration, construction cost, environmental impact, and the maximization of client satisfaction. The proposed approach combines Latin Hypercube Sampling (LHS) with the Non-dominated Sorting Genetic Algorithm III (NSGA-III) to form the LHS-NSGA-III framework. This model addresses the growing need for sustainable construction by balancing key trade-offs between time, cost, environmental impact, and client satisfaction. The optimization process begins with LHS, ensuring a diverse and well-distributed initial population, followed by genetic operations such as crossover and mutation to maintain diversity across generations. The model evaluates multiple execution modes for project activities, each with associated resource utilizations that affect time, cost, environmental impact, and satisfaction outcomes. A case study of a one-story building project with 21 activities and five execution modes per activity demonstrates the applicability of the model. The results showcase a set of Pareto-optimal solutions, providing decision-makers with balanced trade-offs across objectives. This LHS-NSGA-III model offers an effective approach for optimizing sustainable construction projects, helping managers achieve efficiency, cost-effectiveness, and higher client satisfaction while minimizing environmental impact.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"761 - 776"},"PeriodicalIF":0.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142994317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development and performance evaluation of high-performance concrete enhanced with styrene-butadiene rubber 丁苯橡胶增强高性能混凝土的研制与性能评价
Asian Journal of Civil Engineering Pub Date : 2024-11-11 DOI: 10.1007/s42107-024-01222-6
Anirudh Sharma, Ram Vilas Meena
{"title":"Development and performance evaluation of high-performance concrete enhanced with styrene-butadiene rubber","authors":"Anirudh Sharma,&nbsp;Ram Vilas Meena","doi":"10.1007/s42107-024-01222-6","DOIUrl":"10.1007/s42107-024-01222-6","url":null,"abstract":"<div><p>This study investigates the development and performance assessment of high-performance concrete (HPC) incorporating styrene-butadiene rubber (SBR) latex and silica fume as a partial replacement for cement. Eight concrete mixes were designed with varying SBR latex contents (0–7%) and a constant 10% replacement of cement with silica fume. The concrete mixes were evaluated based on their fresh properties, mechanical strengths, durability, and microstructural characteristics. The results indicate that the inclusion of SBR latex significantly enhances the flexural and tensile strengths, thermal resistance, and durability of the concrete, while the addition of silica fume improves compressive strength and impermeability. Mix 4, containing 3% SBR and 10% silica fume, demonstrated the best overall performance, achieving optimal mechanical properties, including improved flexural and tensile strengths, and enhanced durability under aggressive environmental conditions. Durability tests, including permeability, chemical attack resistance, and freeze–thaw cycles, showed substantial improvements in Mix 4 compared to the control mix. Microstructural analysis using SEM, TGA, and XRD revealed a denser interfacial transition zone (ITZ) and reduced porosity in the SBR-modified concrete, contributing to its superior performance. However, at higher SBR contents, a marginal reduction in compressive strength and workability was observed.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"777 - 794"},"PeriodicalIF":0.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142994362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Experimental verification of the compressive stiffness of high-damping rubber bearings (HDRB) according to STN EN 1337-3 and their effectiveness in seismic isolation for cable-stayed bridges 基于STN EN 1337-3标准的高阻尼橡胶支座(HDRB)抗压刚度试验验证及其斜拉桥隔震效果
Asian Journal of Civil Engineering Pub Date : 2024-11-07 DOI: 10.1007/s42107-024-01216-4
Ahmed Ramadan Ahmed, Feras A. R. Temimi, N. A. Yermoshin
{"title":"Experimental verification of the compressive stiffness of high-damping rubber bearings (HDRB) according to STN EN 1337-3 and their effectiveness in seismic isolation for cable-stayed bridges","authors":"Ahmed Ramadan Ahmed,&nbsp;Feras A. R. Temimi,&nbsp;N. A. Yermoshin","doi":"10.1007/s42107-024-01216-4","DOIUrl":"10.1007/s42107-024-01216-4","url":null,"abstract":"<div><p>This article investigates the efficiency of high-damping rubber bearings (HDRB), which are made of special rubber with excellent damping attributes and layers of steel. HDRB isolators have excellent flexibility, vibration reduction ability, and high restoring ability for controlling the seismic response of long-span cable-stayed bridge systems under near-fault ground motions. The seismic isolation of cable-stayed bridges is achieved using high-damping rubber bearings (HDRB). High-damping rubber bearings have excellent seismic effects during earthquakes. The elastic stiffness of the bearing depends on the degree of deformation. When the deformation is small, the stiffness will be large. Therefore, compressive stiffness is one of the key parameters in the design of seismic isolation bearings for cable-stayed bridges. For this reason, predicting the behavior of high-damping rubber bearings under compressive loads is highly important for their design. Therefore, the experimental verification of high-damping rubber bearings (HDRB) for compressive loading was tested according to the standard assumptions in STN EN 1337-3. Firstly, periodic vertical compression tests are performed, and the high damping rubber (HDRB) capabilities and energy dissipation are analysed, taking into account the effect of vertical compression and loading frequency. Secondly, a corrected calculation of the vertical stiffness for high-damping rubber bearings is proposed based on experimental data to provide a more accurate and realistic tool for measuring the vertical mechanical properties of rubber bearings. The test results prove that HDRB has the most advanced performance. For the fatigue property, the hysteresis curves of the HDRB plump both vertically, which provides a good energy dissipation effect.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"719 - 729"},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142994439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prediction of durability of the concrete using electro-mechanical impendence technique: an experimental and machine learning approaches 使用机电阻抗技术预测混凝土耐久性:实验和机器学习方法
Asian Journal of Civil Engineering Pub Date : 2024-11-06 DOI: 10.1007/s42107-024-01215-5
Maheshwari Sonker, Rama Shanker
{"title":"Prediction of durability of the concrete using electro-mechanical impendence technique: an experimental and machine learning approaches","authors":"Maheshwari Sonker,&nbsp;Rama Shanker","doi":"10.1007/s42107-024-01215-5","DOIUrl":"10.1007/s42107-024-01215-5","url":null,"abstract":"<div><p>The durability of concrete is a critical factor in ensuring the structural integrity and longevity of infrastructure, with a focus on sustainable development. Traditional durability assessment methods, such as laboratory-based tests, are time-intensive and impractical for real-world applications. This study proposes the use of the Electromechanical Impedance (EMI) technique as a non-destructive, real-time method to assess and predict concrete durability. By embedding Lead Zirconate Titanate (PZT) sensors in concrete specimens, the study monitors changes in admittance signatures-specifically conductance and susceptance signatures over time as the specimens undergo deterioration under exposure to sodium sulfate solutions. The measured signatures are used to derive equivalent structural parameters such as stiffness, damping, and mass, which serve as indicators of deterioration. The results demonstrate that the EMI technique provides a more sensitive, accurate, and efficient means of predicting concrete durability compared to traditional method, further machine learning approach viz. Support Vector Machine was applied to predict the durability. The data trained an Support Vector Regression Model (SVR), which found suitable for predicting deterioration levels. This research contributes to the advancement of Structural Health Monitoring (SHM) and sustainable building practices by offering a scalable and sustainable approach for real-time durability assessment, ultimately improving the long-term safety and performance of concrete structures, contributing to a more sustainable development.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"701 - 717"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142994607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparison of experimental and analytical studies in light gauge steel sections on CFST using SFRC in beams subjected to high temperatures 高温下使用钢纤维混凝土梁的轻钢截面CFST试验与分析研究的比较
Asian Journal of Civil Engineering Pub Date : 2024-11-06 DOI: 10.1007/s42107-024-01213-7
Christo George, Rakesh Kumar, H. K. Ramaraju
{"title":"Comparison of experimental and analytical studies in light gauge steel sections on CFST using SFRC in beams subjected to high temperatures","authors":"Christo George,&nbsp;Rakesh Kumar,&nbsp;H. K. Ramaraju","doi":"10.1007/s42107-024-01213-7","DOIUrl":"10.1007/s42107-024-01213-7","url":null,"abstract":"<div><p>This study investigates the behaviour of rectangular concrete-filled steel tubes (CFST) that have compacted thin component sections. Between the experimental and numerical data, there were generally acceptable correlations in the greatest possible flexural strength as well as the curved trend of moment against center displacement relations of the composite material. This was incredibly pure bending for the highest possible flexural strength. After that, the remaining failure pattern of the concrete and the typical residual deformations were investigated by utilizing Finite Element Analysis (FEA) modelling of the outer steel and the load distributions across the composite section during the loading procedure. In this research, there is a comparison of the ambient and elevated temperature due to different conditions. According to the findings of the study, the combination of composite structural members allows stress dispersion in steel and concrete. As a consequence, the CFST beam has a high flexural capacity and is flexible. Following being exposed to a high-pitched temperature, the concrete flexural strength remained drastically reduced. Different standards, such as EC-EN 1994-1-2005, ANSI/AISC 360-16, AIJ-97, and BS 5950-5-2000, have been used to measure the load-carrying capacity of the beams. These beams have also been proposed theoretically by these standards. Its better performance of the elevated temperatures in Infilled beams revealed that the Steel fiber reinforced concrete (SFRC). The study further explores the applicability of the ANN model for predicting the load using the dataset obtained from experimental findings.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"667 - 681"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142994609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Seismic vulnerability assessment of hospital buildings in Kabul city (Afghanistan) using applied technology council (ATC – 21) 利用应用技术委员会(ATC - 21)对喀布尔市(阿富汗)医院建筑进行地震易损性评估
Asian Journal of Civil Engineering Pub Date : 2024-11-06 DOI: 10.1007/s42107-024-01027-7
Abdul Ali Raoufy, Ali Kheyroddin, Hosein Naderpour
{"title":"Seismic vulnerability assessment of hospital buildings in Kabul city (Afghanistan) using applied technology council (ATC – 21)","authors":"Abdul Ali Raoufy,&nbsp;Ali Kheyroddin,&nbsp;Hosein Naderpour","doi":"10.1007/s42107-024-01027-7","DOIUrl":"10.1007/s42107-024-01027-7","url":null,"abstract":"<div><p>The recent earthquakes in Afghanistan and the other regions of the world showed that we are not safe enough from earthquakes. Due to the situation and the unnecessary growth of urbanization in Kabul City, the occurrence of a strong earthquake in this city will cause a lot of damage and casualties. Hospitals should be able to provide immediate occupancy after an earthquake in order to reducing casualties caused by the earthquake. This research purpose is to rapid seismic vulnerability assessment of existing hospital buildings in Kabul City. Thus, a rapid seismic vulnerability assessment of 26 hospitals, which have 79 buildings, including 1 steel moment resisting frame, 18 unreinforced masonry, and 60 reinforced concrete buildings, was done. The seismic vulnerability of buildings was investigated according to the ATC-21 method. In this method, relatively cheap assessments are done (without detailed analysis for potentially dangerous buildings). According to the final scores in the event of an earthquake; the seismic vulnerability of hospital buildings is probable and the degree of this seismic vulnerability is varies. The probability of damage to 4 buildings (D5-D4) and to 15 buildings (D4-D3), as well as the probability of damage to 60 buildings (D3-D2) were estimated. According to the final scores, unreinforced masonry hospital buildings had the highest probability of collapse (100%) and steel moment resisting frame hospital buildings had the lowest probability of collapse (1.44%).Therefore, these buildings vulnerability should be assessed by details and accordingly, rehabilitation and retrofitting or other suitable plans for them should be reviewed.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 1","pages":"47 - 57"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142905996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Seismic response control of RC structure using U- shape damper as isolator 采用U型阻尼器作为隔震器的钢筋混凝土结构地震反应控制
Asian Journal of Civil Engineering Pub Date : 2024-11-05 DOI: 10.1007/s42107-024-01202-w
Ashwini R. Patil, Smita Daterao, Vivek Jayale
{"title":"Seismic response control of RC structure using U- shape damper as isolator","authors":"Ashwini R. Patil,&nbsp;Smita Daterao,&nbsp;Vivek Jayale","doi":"10.1007/s42107-024-01202-w","DOIUrl":"10.1007/s42107-024-01202-w","url":null,"abstract":"<div><p>Understanding and control of underground vibration generated from dynamic events such as blasts and earthquakes are needed. Base isolation used in earthquake engineering to improve response of structure against seismic vibration. Recent advancements in base isolation have proven effective at mitigating blast-induced vibrations, expanding its applicability beyond seismic events. This study evaluates the response of a 6-story RC building structure using U-shaped dampers as an isolator considering dynamic excitations such as blast-induced underground vibrations and seismic events via SAP2000. Nonlinear dynamic analysis was conducted to assess the acceleration, story drift, and base shear responses; seismic scenarios taken from ATC-40; and data on blast-induced ground vibrations found in the body of the current literature. By comparing the responses under blast and seismic circumstances to those of a fixed base structure, the efficacy of U-shaped base isolation is assessed. This study assessed the effectiveness of base isolation by comparing structural responses with and without isolators, and revealed significant differences. The results demonstrate a considerable reduction in response quantities, minimizing structural damage in U-shaped isolation systems under both blast and seismic loading conditions.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"505 - 514"},"PeriodicalIF":0.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142994763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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