Asian Journal of Civil Engineering最新文献_第6页

Optimizing construction time, cost, and quality: a hybrid AHP-NSGA-III model for enhanced multi-objective decision making

Asian Journal of Civil Engineering Pub Date : 2024-12-17 DOI: 10.1007/s42107-024-01232-4

Barada Prasad Sethy, Priyanka Gupta, Abhishek Chandra, Krushna Chandra Sethi, Amir Prasad Behera, Kamal Sharma

{"title":"Optimizing construction time, cost, and quality: a hybrid AHP-NSGA-III model for enhanced multi-objective decision making","authors":"Barada Prasad Sethy, Priyanka Gupta, Abhishek Chandra, Krushna Chandra Sethi, Amir Prasad Behera, Kamal Sharma","doi":"10.1007/s42107-024-01232-4","DOIUrl":"10.1007/s42107-024-01232-4","url":null,"abstract":"<div><p>In construction projects, optimizing time, cost, and quality (TCQT) simultaneously is a challenging task due to the inherent trade-offs between these objectives. This paper presents a hybrid optimization model that combines the analytical hierarchy process (AHP) with the non-dominated sorting genetic algorithm III (NSGA-III) to achieve a balanced approach. The model uses AHP to assign weights to activities and quality indicators, providing a structured framework for prioritizing project goals. NSGA-III is then employed to identify Pareto-optimal solutions, leveraging reference points to enhance diversity and distribution across the Pareto front. A comparative analysis with MOPSO, TLBO, and MOACO demonstrates that NSGA-III yields superior performance, generating more well-spread solutions with improved generational distance and hypervolume indicators. In a case study application, the model showcases its effectiveness in producing diverse, efficient project completion strategies that allow project managers to navigate TCQT trade-offs more effectively. Results indicate that NSGA-III’s reference direction-based approach offers substantial advantages over traditional algorithms, making it ideal for complex, multi-objective optimization in construction. This study provides a robust decision-making tool to enhance project efficiency and stakeholder satisfaction.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 3","pages":"1043 - 1057"},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143638601","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

Soft computing approaches for mechanical property predictions for polypropylene fibre in Fly Ash Mortar based machine learning

Asian Journal of Civil Engineering Pub Date : 2024-12-16 DOI: 10.1007/s42107-024-01240-4

R. K. Grover, Vivek Kumar Mishra, Bharti Sahu, Mrunalini Deshmukh, S. Thenmozhi

引用次数: 0

Optimizing time–cost in construction projects using modified quasi-opposition learning-based multi-objective Jaya optimizer and multi-criteria decision-making methods

Asian Journal of Civil Engineering Pub Date : 2024-12-15 DOI: 10.1007/s42107-024-01235-1

Mohammad Azim Eirgash

{"title":"Optimizing time–cost in construction projects using modified quasi-opposition learning-based multi-objective Jaya optimizer and multi-criteria decision-making methods","authors":"Mohammad Azim Eirgash","doi":"10.1007/s42107-024-01235-1","DOIUrl":"10.1007/s42107-024-01235-1","url":null,"abstract":"<div><p>This study introduces a modified quasi-opposition learning Jaya optimization (MQOL-Jaya) algorithm to address time–cost-trade-off (TCTP) optimization problems. The proposed method integrates Jaya algorithm with modified quasi-opposite learning (MQOL) during the initial population and generation jumping phases to reduce computational load and enhance solution quality. The effectiveness of the approach is demonstrated on TCTP problems involving 18, 19, and 63 activities. The results reveal that MQOL-Jaya provides competitive solutions, outperforming plain particle swarm optimizaiton (PSO), teaching learning based optimization (TLBO), Jaya, and quasi-oppositional Jaya (QO-Jaya) in terms of function evaluations (NFE), spread (Sp), and hypervolume (HV) indicators. An iterative-based varying weighting factor for MQOL is introduced to improve population diversity and fast convergence. The CRITIC method was used to objectively determine the importance of each criterion, and then the SAW method was used to rank the Pareto front solutions based on these weights. Hence, the basic contribution of this study is MQOL-Jaya approach that provides TCTP resource utilizations (construction plans) to evaluate the impact of these resources on the construction project performance.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 3","pages":"1095 - 1114"},"PeriodicalIF":0.0,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143638491","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

Quantifying compressive strength in limestone powder incorporated concrete with incorporating various machine learning algorithms with SHAP analysis 通过将各种机器学习算法与SHAP分析相结合，量化石灰石粉末混凝土的抗压强度

Asian Journal of Civil Engineering Pub Date : 2024-12-14 DOI: 10.1007/s42107-024-01219-1

Mihir Mishra

{"title":"Quantifying compressive strength in limestone powder incorporated concrete with incorporating various machine learning algorithms with SHAP analysis","authors":"Mihir Mishra","doi":"10.1007/s42107-024-01219-1","DOIUrl":"10.1007/s42107-024-01219-1","url":null,"abstract":"<div><p>The use of waste and recycled materials in concrete is one potential solution to lessen the impact of environmental problems from the concrete industry. The purpose of this work is to use machine learning algorithms to forecast and create an empirical formula for the compressive strength (CS) of limestone powder (LP) incorporated concrete. Eight distinct machine learning models—XGBoost, Gradient Boosting, Support Vector Regression, Linear Regression, Decision Tree, K-Nearest Neighbors, Bagging, and Adaptive Boosting—were trained and tested using a dataset that included 339 experimental data of varying mix proportions. The most significant factors were used as input parameters in the creation of LP-based concrete models, and these included cement, aggregate, water, super plasticizer, cement, and additional cementitious material. Several statistical measures, such as mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), mean square error (MSE), root man square error (RMSE) and mean absolute percentage error (MAPE), were used to evaluate the models. XGBoost model outperforms the other models with R<sup>2</sup> values of 0.99 (training) and 0.89 (testing), with RMSE values between 0.065 and 4.557. To ascertain how the input parameters affected the outcome, SHAP analysis was done. It was demonstrated that superplasticizer, cement, and SCM significantly affected the CS of limestone powder concrete (LPC) with high SHAP values. By eliminating experimental procedures, reducing the demand for labor and resources, increasing time efficiency and offering insightful information for enhancing LPC design, this research advances the development of sustainable building materials using machine learning.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"731 - 746"},"PeriodicalIF":0.0,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142994404","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 mitigation of base isolated structures equipped using a novel tuned mass dampers with H2 optimization 利用新型调谐质量阻尼器和 H2 优化技术减轻基底隔震结构的地震脆弱性

Asian Journal of Civil Engineering Pub Date : 2024-12-11 DOI: 10.1007/s42107-024-01238-y

K. K. Kiran, D. T. Naveenkumar, Anvita M. Kumar

{"title":"Seismic vulnerability mitigation of base isolated structures equipped using a novel tuned mass dampers with H2 optimization","authors":"K. K. Kiran, D. T. Naveenkumar, Anvita M. Kumar","doi":"10.1007/s42107-024-01238-y","DOIUrl":"10.1007/s42107-024-01238-y","url":null,"abstract":"<div><p>This study presents an analysis of a Novel Tuned Mass Damper Inerter (NTMDI) aimed at mitigating structural responses under seismic excitation. Initially, a Single-Degree-of-Freedom (SDOF) structural model was analysed under Gaussian white noise excitation to determine optimal NTMDI parameters. These parameters were then applied to a base-isolated structure under real seismic data (El Centro ground motion) to evaluate performance in practical scenarios. The H<sub>2</sub> optimization technique was employed to simplify the process of determining reduced responses, and a combination of numerical search and curve fitting was used to derive closed-form expressions for optimal parameters. Results indicate that the NTMDI significantly reduces base accelerations by up to 60% in the isolated structure, highlighting its potential as an effective vibration control solution. The study further demonstrates that the inerter mass ratio directly influences both frequency and damping ratios, offering enhanced flexibility in structural tuning. The use of NTMDI for seismic applications shows considerable promise, providing engineers with a practical tool to achieve high levels of response reduction.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 3","pages":"1129 - 1142"},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143638596","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

A new model for monitoring nonlinear elastic behavior of reinforced concrete structures 钢筋混凝土结构非线性弹性性能监测新模型

Asian Journal of Civil Engineering Pub Date : 2024-12-05 DOI: 10.1007/s42107-024-01228-0

Rebiha Smahi, Youcef Bouafia

{"title":"A new model for monitoring nonlinear elastic behavior of reinforced concrete structures","authors":"Rebiha Smahi, Youcef Bouafia","doi":"10.1007/s42107-024-01228-0","DOIUrl":"10.1007/s42107-024-01228-0","url":null,"abstract":"<div><p>To better approximate the actual behavior of reinforced concrete structures under static and monotonic loading, we consider the effect of shear, ductility, and the contribution of concrete in tension between two cracks, as well as the location and distribution of stresses and strains with their directions. Based on the model established by Smahi and Bouafia for concrete and its combination with the damage variable for steel (derived from the behavior law for strain-hardened steel), a homogenization law for composite structures has been proposed. The proposed model is essentially based on the theory of continuum mechanics (generalized Hooke’s law), the damage theory of irreversible processes applied to homogeneous and isotropic materials, and the analytical model established by Vecchio and Collins. The latter is applied to reinforced concrete structures in a plane stress state and is extended in this study to a tridirectional stress state. Taking into account the geometric percentage of steel, two independent damage variables (deviatoric and volumetric) have been used to influence the properties of the composite material in the nonlinear domain, and then a law of variation of Poisson’s ratio is proposed. A numerical finite element program has been developed and applied to slabs and beams “with and without stirrups” in three-point and four-point bending tests. The latter, based on secant stiffness, was compared with other existing software, allowing us to verify its performance in the simulation of reinforced concrete elements and to monitor the actual behavior of these structures, both theoretically and graphically, until failure.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"887 - 912"},"PeriodicalIF":0.0,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142994340","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

Performance evaluation of self-compacting concrete with steel slag and hybrid fibers: enhancing fresh, mechanical, durability, and microstructural characteristics

Asian Journal of Civil Engineering Pub Date : 2024-12-03 DOI: 10.1007/s42107-024-01234-2

Sabhilesh Singh, Vivek Anand

{"title":"Performance evaluation of self-compacting concrete with steel slag and hybrid fibers: enhancing fresh, mechanical, durability, and microstructural characteristics","authors":"Sabhilesh Singh, Vivek Anand","doi":"10.1007/s42107-024-01234-2","DOIUrl":"10.1007/s42107-024-01234-2","url":null,"abstract":"<div><p>Building on our previous research (Singh and Anand 2024), which identified 50% steel slag replacement as optimal for SCC performance, this study explores the addition of hybrid fibers (50% steel and 50% polypropylene) at varying proportions (0.25–2%). The main objective of this paper is to optimize SCC using 50% steel slag as a fine aggregate replacement and hybrid fibers to enhance its fresh, mechanical, durability, and microstructural properties. The mix design adheres to IS 10262:2019 and EFNARC guidelines to ensure compliance with international standards for flowability, passing ability, and viscosity. The findings reveal that hybrid fibers significantly enhance the fresh and hardened properties of SCC. An optimal fiber addition (1% total content) achieved compressive strength of 85.2 MPa at 56 days, tensile strength of 6.71 MPa, and flexural strength of 8.57 MPa, while maintaining superior flowability (slump flow: 710.3 mm). Enhanced durability was evidenced by reduced water absorption, improved sulfate resistance, and freeze–thaw durability. Microstructural analysis (SEM, TGA, XRD) confirmed denser interfacial transition zones and improved hydration product formation. This research highlights the synergistic benefits of hybrid fibers in SCC with steel slag, offering a sustainable and high-performance material solution for modern construction applications.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 3","pages":"1077 - 1094"},"PeriodicalIF":0.0,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143638215","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

Advances in macro modeling for seismic performance assessment of infilled reinforced concrete structures

Asian Journal of Civil Engineering Pub Date : 2024-12-03 DOI: 10.1007/s42107-024-01236-0

Salah Guettala, Issam Abdesselam, Akram Khelaifia, Salim Guettala, Rachid Chebili

{"title":"Advances in macro modeling for seismic performance assessment of infilled reinforced concrete structures","authors":"Salah Guettala, Issam Abdesselam, Akram Khelaifia, Salim Guettala, Rachid Chebili","doi":"10.1007/s42107-024-01236-0","DOIUrl":"10.1007/s42107-024-01236-0","url":null,"abstract":"<div><p>This article presents a comprehensive review of advancements in macro modeling techniques for assessing the seismic performance of reinforced concrete structures with masonry infill walls. The study emphasizes the importance of accurately modeling the contribution of masonry infill walls, which are often treated as non-structural elements in seismic design. However, research has shown that masonry infills significantly enhance the lateral stiffness and strength of reinforced concrete frames, influencing their overall seismic behavior. The paper explores the historical evolution of macro modeling approaches, starting from early single-strut models introduced in the 1960s, to more refined multi-strut and spring-based models developed in recent decades. These advancements allow for better simulation of the non-linear behavior of masonry under lateral loads, including cracking, crushing, and interaction with the surrounding frame. The article also discusses the introduction of fiber hinge models, which offer a more sophisticated method for capturing both flexural and shear deformations in infilled frames. A key aspect of the study is the validation of the nonlinear macro-model through comparisons with experimental data. Three infilled frame specimens-constructed with different masonry types (limestone, hollow clay, and lightweight concrete) were analyzed under vertical and lateral loading. The force-displacement curves from the analytical model closely matched the experimental results, demonstrating the accuracy of the macro-model in predicting the seismic response of infilled frames. Notably, the model accurately captured stiffness degradation and maximum lateral strength, key indicators of seismic performance.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 3","pages":"1009 - 1022"},"PeriodicalIF":0.0,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143638257","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

The effect of multi-pass welding on residual stresses in fillet welded built-up steel box sections 多道次焊接对角焊组合钢箱截面残余应力的影响

Asian Journal of Civil Engineering Pub Date : 2024-12-02 DOI: 10.1007/s42107-024-01218-2

Nima Tajik, Saba Marmarchinia, Alireza Mahmoudian, Abazar Asghari, Seyed Rasoul Mirghaderi

{"title":"The effect of multi-pass welding on residual stresses in fillet welded built-up steel box sections","authors":"Nima Tajik, Saba Marmarchinia, Alireza Mahmoudian, Abazar Asghari, Seyed Rasoul Mirghaderi","doi":"10.1007/s42107-024-01218-2","DOIUrl":"10.1007/s42107-024-01218-2","url":null,"abstract":"<div><p>One of the main challenges in welding structural sections is selecting the optimal welding sequences to minimize residual stresses and distortions. In welded structural sections, such as built-up steel box sections, residual stresses and distortions can lead to failures due to the non-uniform expansion and contraction of the weld and surrounding materials. This study investigates the impacts of two different multi-pass welding sequences on residual stress and distortion in fillet welded built-up steel box sections, aiming to identify the most effective solution for minimizing residual stresses and distortions in these structural sections. To achieve this, both thermal and mechanical analyses were conducted using the finite element method, implemented in Abaqus software and programmed in Fortran programming language. The numerical study was validated against existing experimental tests documented in the literature, demonstrating good agreement. The analysis revealed that the sequance of welding operations can affect peak residual stresses; with some sequences resulting in lower stresses and distortions. Consequently, an optimal multi-pass welding sequence is proposed to minimize distortion and residual stresses in fillet welded built-up steel box sections.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"955 - 974"},"PeriodicalIF":0.0,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142994389","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

An arithmetic optimization algorithm based on opposition jumping rate for time cost trade-off optimization problems 一种基于对立跳率的时间成本权衡优化算法

Asian Journal of Civil Engineering Pub Date : 2024-11-29 DOI: 10.1007/s42107-024-01227-1

Abdikarim Said Sulub, Mohammad Azim Eirgash, Vedat Toğan

{"title":"An arithmetic optimization algorithm based on opposition jumping rate for time cost trade-off optimization problems","authors":"Abdikarim Said Sulub, Mohammad Azim Eirgash, Vedat Toğan","doi":"10.1007/s42107-024-01227-1","DOIUrl":"10.1007/s42107-024-01227-1","url":null,"abstract":"<div><p>Trade-off problem requires a balance between the project objectives taken as time and cost, known as the NP-hard optimization problem. Due to this, any metaheuristic algorithm like the arithmetic optimization algorithm (AOA) gaining popularity for its simplicity and fast convergence might suffer from finding the optimal solution(s) when the construction project scale is increasing. To improve the overall optimization ability and overcome the drawbacks of the plain AOA in solving the time–cost trade-off optimization problems, in this study, the generation jumping phase of the opposition-based learning strategy is proposed and integrated with AOA. This enhancement realizes complementary advantages of the opposition jumping rate to avoid falling into the local optimum and premature convergence. Construction engineering projects involving 63, 81, and 146 activities are applied to verify the effectiveness and feasibility of the enhanced AOA. The experimental results reveal that the proposed model is more effective than the plain AOA and other emerging algorithms for simultaneously optimizing the trade-off problems in construction management.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 2","pages":"867 - 886"},"PeriodicalIF":0.0,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142995863","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