Journal of Infrastructure Intelligence and Resilience最新文献_第7页

Seismic performance of supplemental inerter and spring with on-off effects for base-isolated structures 基础隔震结构中具有开关效应的附加阻尼器和弹簧的抗震性能

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-06-01 DOI: 10.1016/j.iintel.2023.100038

R.S. Jangid

{"title":"Seismic performance of supplemental inerter and spring with on-off effects for base-isolated structures","authors":"R.S. Jangid","doi":"10.1016/j.iintel.2023.100038","DOIUrl":"https://doi.org/10.1016/j.iintel.2023.100038","url":null,"abstract":"<div><p>The present study investigates the performance of supplemental inerter and spring with on-off effects (ISWOE) in the mitigation of the seismic response of base-isolated structures. Firstly, the response of the rigid base-isolated structure with ISWOE is investigated to see the response control effects of ISWOE under stationary earthquake excitation. The performance of ISWOE in the response reduction of the isolated structure is compared with the corresponding passive inerter and spring. The equivalent damping that was added to the base-isolated structures by the ISWOE was used to measure its performance in mitigating the seismic response. The equivalent damping of the ISWOE is obtained for different values of the isolation period and damping ratio. Subsequently, equations for the equivalent damping of the ISWOE and displacement responses are proposed, and it is observed that they match well with the obtained numerical results. Secondly, using the non-linear model of the ISWOE, the seismic response of flexible base-isolated structures is determined for actual earthquakes, considering different values of the isolation period and ISWOE parameters. The trends of the results of isolated structures with ISWOE under the actual earthquake motions were in good agreement with those under stochastic excitation. Finally, the seismic response of isolated structures with ISWOE by non-linear analysis is compared with the corresponding linear analysis with equivalent parameters of the ISWOE. The isolator displacement of the structures with the ISWOE by the non-linear analysis was observed to match those achieved using the equivalent parameters and by the linear analysis.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 2","pages":"Article 100038"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49903753","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

Enhanced predictive method for pipeline strain demand subject to permanent ground displacements with internal pressure & temperature: a finite difference approach 管道应变需求随内部压力和温度的永久地面位移的增强预测方法:有限差分法

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-04-19 DOI: 10.1016/j.iintel.2023.100030

Ismael Allouche , Qian Zheng , Nader Yoosef-Ghodsi , Matthew Fowler , Yong Li , Samer Adeeb

{"title":"Enhanced predictive method for pipeline strain demand subject to permanent ground displacements with internal pressure & temperature: a finite difference approach","authors":"Ismael Allouche , Qian Zheng , Nader Yoosef-Ghodsi , Matthew Fowler , Yong Li , Samer Adeeb","doi":"10.1016/j.iintel.2023.100030","DOIUrl":"https://doi.org/10.1016/j.iintel.2023.100030","url":null,"abstract":"<div><p>Pipelines subject to ground deformations generated by geohazard loads carry high importance on pipeline analysis, design, and assessment due to risk of structural damage or failure. Additionally, internal pressure and temperature variation within an operating pipe induce additional strains in combination with pipe strains generated by ground displacement. In this study, an enhanced predictive method is proposed founded upon methods employed by Zheng et al. (2022) to assess pipeline behaviour subject to permanent ground displacement, while considering effects of internal operating pressure and temperature variation. The finite difference-based method previously proposed for strain analysis of buried steel pipes subject to ground movement ignores the effects of internal pressure and/or temperature loading, limiting the applicability of this approach to exclude the operating conditions of pipelines. To address this limitation, the proposed enhanced method accounts for the initial thermal strains and biaxial stress state in the pipe due to hoop stress generated by internal pressure. These additional strains are considered within the expressions of internal axial force and bending moment, derived based on the actual stress distribution on the pipe cross-section. The accuracy of the proposed method is validated against the finite element method (FEM) with respect to results of strain and deformation demand using several indicative case studies. This research provides an effective method of incorporating temperature and internal pressure loads of pipelines subject to permanent ground displacements of varying types, magnitudes, and directions.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 4","pages":"Article 100030"},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49891240","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 and optimization of rheological properties and aging resistance of asphalt binder incorporating palm oil mill waste using response surface methodology 用响应面法模拟和优化含棕榈油厂废料的沥青粘结剂的流变特性和抗老化性能

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-03-01 DOI: 10.1016/j.iintel.2023.100026

Nura Shehu Aliyu Yaro , Muslich Hartadi Sutanto , Noor Zainab Habib , Madzlan Napiah , Aliyu Usman , Ashiru Muhammad , Ahmad Hussaini Jagaba

{"title":"Modeling and optimization of rheological properties and aging resistance of asphalt binder incorporating palm oil mill waste using response surface methodology","authors":"Nura Shehu Aliyu Yaro , Muslich Hartadi Sutanto , Noor Zainab Habib , Madzlan Napiah , Aliyu Usman , Ashiru Muhammad , Ahmad Hussaini Jagaba","doi":"10.1016/j.iintel.2023.100026","DOIUrl":"https://doi.org/10.1016/j.iintel.2023.100026","url":null,"abstract":"<div><p>This study assessed the rheological performance of asphalt binder modified with palm oil clinker fine (POCF) and its influence on the asphalt binder's short-term aging properties. The conventional properties of unaged and short-term aged asphalt binders modified with 0%, 2%, 4%, 6%, and 8% POCF content by binder weight were evaluated. The modified binders were then tested using a dynamic shear rheometer (DSR) in a temperature sweep test at temperatures ranging from 25 °C to 55 °C. To examine the effect of various POCF contents and temperature ranges on the rheological behavior of asphalt binders, the Central Composite Design (CCD) Response Surface Methodology (RSM) design was used with two input response variables, POCF content and temperature, and two rheological parameters as responses, complex modulus, and phase angle. When compared to the virgin binder, POCF-modified binders had higher complex modulus and lower phase angle values at all temperatures. Furthermore, the stiffness of the aged-modified binder was lower at all temperatures than that of the virgin binder. The analysis shows that complex modulus and phase angle have high correlation coefficients (<em>R</em><sup>2</sup>) of <0.98, indicating that the model values are strongly correlated with the experimenttal values. The model also demonstrates that temperature has more influence on the rheological performance of the modified binder. Using the generated quadratic model and numerical optimization, optimal values for POCF and temperature were found to be 5.57% and 41.9 °C, respectively. The validation test results show that all responses have a percentage error of <5%, indicating good agreement and the model's effectiveness.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 1","pages":"Article 100026"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49875983","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: 11

Cloud manufacturing for industrialized construction: Opportunities and challenges for a new manufacturing model 面向工业化建筑的云制造:新制造模式的机遇与挑战

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-03-01 DOI: 10.1016/j.iintel.2023.100027

Irfan Čustović , Jianpeng Cao , Daniel M. Hall

{"title":"Cloud manufacturing for industrialized construction: Opportunities and challenges for a new manufacturing model","authors":"Irfan Čustović , Jianpeng Cao , Daniel M. Hall","doi":"10.1016/j.iintel.2023.100027","DOIUrl":"https://doi.org/10.1016/j.iintel.2023.100027","url":null,"abstract":"<div><p>More widespread use of industrialized construction (IC) is hampered by the high capital cost of advanced production facilities paired with low profit margins. A novel service-oriented cloud manufacturing (CMfg) model could in theory increase utilization and profitability of distributed production facilities. However, little research has investigated how IC can benefit from the CMfg model. This paper examines opportunities and challenges of applying CMfg for IC. First, an adapted model of CMfg for construction is developed based on a literature review. Second, four possible scenarios for applying this adapted CMfg model are designed. Finally, an evaluation is performed through a survey among 25 practitioners and 12 in-depth interviews with industry experts. The paper assesses the desirability and categorizes the benefits and barriers of such a CMfg platform for IC. The results suggest that CMfg could enhance the design quality, support IC suitability assessment for project developers and lower financial risks for off-site manufacturers.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 1","pages":"Article 100027"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49876316","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

inside back cover: using Editorial Board page 内封底:使用编委会页面

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-03-01 DOI: 10.1016/S2772-9915(23)00010-5

引用次数: 0

Machine learning for all! Benchmarking automated, explainable, and coding-free platforms on civil and environmental engineering problems 机器学习!对土木和环境工程问题的自动化，可解释和无编码平台进行基准测试

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-03-01 DOI: 10.1016/j.iintel.2023.100028

M.Z. Naser

{"title":"Machine learning for all! Benchmarking automated, explainable, and coding-free platforms on civil and environmental engineering problems","authors":"M.Z. Naser","doi":"10.1016/j.iintel.2023.100028","DOIUrl":"https://doi.org/10.1016/j.iintel.2023.100028","url":null,"abstract":"<div><p>One of the key challenges in fully embracing machine learning (ML) in civil and environmental engineering revolves around the need for coding (or programming) experience and for acquiring ML-related infrastructure. This barrier can be overcome through the availability of various platforms that provide automated and coding-free ML services, as well as ML infrastructure (in the form of a cloud service or software). Thus, engineers can now adopt, create, and apply ML to tackle various problems with ease and little coding. From this view, this paper presents a comparison of five automated and coding-free ML platforms: <em>BigML</em>, <em>Dataiku</em>, <em>DataRobot</em>, <em>Exploratory</em>, and <em>RapidMiner</em> on civil and environmental engineering problems. This comparison shows that although these platforms differ in their setup, services, and provided ML algorithms, all platforms performed adequately and comparably well to each other and to coding-based ML analyses. These findings denote the usefulness of coding-free ML platforms, which can lead to a brighter future for ML integration into our domain.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 1","pages":"Article 100028"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49875982","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: 7

Bolt looseness detection and localization using wave energy transmission ratios and neural network technique 基于波能传动比和神经网络技术的螺栓松动检测与定位

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-03-01 DOI: 10.1016/j.iintel.2022.100025

Xiaodong Sui , Yuanfeng Duan , Chungbang Yun , Zhifeng Tang , Junwei Chen , Dawei Shi , Guomin Hu

{"title":"Bolt looseness detection and localization using wave energy transmission ratios and neural network technique","authors":"Xiaodong Sui , Yuanfeng Duan , Chungbang Yun , Zhifeng Tang , Junwei Chen , Dawei Shi , Guomin Hu","doi":"10.1016/j.iintel.2022.100025","DOIUrl":"https://doi.org/10.1016/j.iintel.2022.100025","url":null,"abstract":"<div><p>Looseness detection in bolt-connected joints is vital in ensuring safety and keeping the service stability of structures. Thus, various structural health monitoring methods have been introduced for bolt looseness detection by many researchers. However, most of them studied a single bolt, which may not be readily applicable to actual structures. In this study, a SH-type guided wave-based method is presented for bolt looseness detection and localization of a joint with multiple bolts using a small number of magnetostrictive transducers. A normalized wave energy transmission ratio <span><math><mrow><msubsup><mi>I</mi><mrow><mi>B</mi><mi>L</mi></mrow><mrow><mi>n</mi><mi>o</mi><mi>r</mi></mrow></msubsup></mrow></math></span> was used as a bolt looseness index, which was defined on the basis of the wave energy ratios between the transmitted wave passing through the joint and the directly incoming wave from the actuator. Several wave propagation paths in the pitch-catch tests were considered, and the <span><math><mrow><msubsup><mi>I</mi><mrow><mi>B</mi><mi>L</mi></mrow><mrow><mi>n</mi><mi>o</mi><mi>r</mi></mrow></msubsup></mrow></math></span> values from the wave paths were used as the input to the backpropagation neural network (BPNN) for bolt looseness localization and severity estimation. Numerical and experimental studies were conducted on a lap joint with eight bolts. The results show that the bolt looseness conditions can be successfully estimated for the experimental data using the BPNN trained by the <span><math><mrow><msubsup><mi>I</mi><mrow><mi>B</mi><mi>L</mi></mrow><mrow><mi>n</mi><mi>o</mi><mi>r</mi></mrow></msubsup></mrow></math></span> generated from the finite element simulation. Noise-injected learning was conducted in the training process to improve the bolt looseness localization accuracy.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 1","pages":"Article 100025"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49875981","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

Survey of robotics technologies for civil infrastructure inspection 民用基础设施检测机器人技术综述

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-03-01 DOI: 10.1016/j.iintel.2022.100018

Alex Junho Lee , Wonho Song , Byeongho Yu , Duckyu Choi , Christian Tirtawardhana , Hyun Myung

{"title":"Survey of robotics technologies for civil infrastructure inspection","authors":"Alex Junho Lee , Wonho Song , Byeongho Yu , Duckyu Choi , Christian Tirtawardhana , Hyun Myung","doi":"10.1016/j.iintel.2022.100018","DOIUrl":"https://doi.org/10.1016/j.iintel.2022.100018","url":null,"abstract":"<div><p>The demands for infrastructure inspection using autonomous robots have noticeably increased, and the market is expected to grow accordingly. One of the advantages is that autonomous robots can navigate the environment and interact with humans because an inspection of a high-rise building, for instance, is considered an extremely challenging task for a human. Inspection robot systems can be classified as ground, aerial, underwater robots, or types of sensors used for inspection, such as visual or non-visual sensors. Users can choose a specific robot platform for their target and environment among them. This paper reviews various inspection robots and categorizes them according to their automated inspection system to aid the user in a good choice. Especially, unmanned aerial vehicles (UAVs) are preferred among the various robot platforms due to their high manoeuvrability. Thus, two types of aerial inspection robot platforms, such as climbing aerial robots and autonomous drone navigation systems, are introduced in detail.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 1","pages":"Article 100018"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49876317","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: 7

Automated multiclass structural damage detection and quantification using augmented reality 基于增强现实的多类结构损伤自动检测与量化

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-03-01 DOI: 10.1016/j.iintel.2022.100024

Omar Awadallah , Ayan Sadhu

{"title":"Automated multiclass structural damage detection and quantification using augmented reality","authors":"Omar Awadallah , Ayan Sadhu","doi":"10.1016/j.iintel.2022.100024","DOIUrl":"https://doi.org/10.1016/j.iintel.2022.100024","url":null,"abstract":"<div><p>Civil infrastructure worldwide is ageing and enduring increasingly adverse weather conditions. Traditional structural health monitoring (SHM) involves the expensive and time-consuming installation of contact sensors. For example, inspectors use costly large-scale equipment to reach a certain area of the structure and at different heights to inspect it, which can pose a risk to the inspector's safety. Moreover, the inspectors rely only on the batch data acquired during the inspection period, which are analyzed by engineers at a later time due to the limited availability of a real-time visualization approach for structural inspection within the traditional mode of SHM. To address these timely challenges, an Augmented Reality (AR)-based automated multiclass damage identification and quantification methodology is proposed in this paper. The interactive visualization framework of AR is integrated with the autonomous decision-making of Artificial Intelligence (AI) in a unified fashion to incorporate human-sensor interaction. The proposed system uses an AI model that is trained and optimized using the <em>YOLOv5</em> architecture to detect and classify four different types of anomalies/damages (i.e., cracks, spalls, pittings, and joints). The AI model is then updated to quantify the length, area, and perimeter of any damage using segmentation to further assess its severity. Once the model is developed, the model is embedded with the AR device and tested through its interactive environment for SHM of various structures. The paper concludes that the proposed approach successfully classifies four types of damage with an accuracy of more than 90% for up to 2 m, and it also quantifies the length, area, and perimeter with less than 2% of error.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 1","pages":"Article 100024"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49876315","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: 3

Experimental validation of the design formulas for vibration control of stay cables using external dampers 外阻尼器控制斜拉索振动设计公式的试验验证

Journal of Infrastructure Intelligence and Resilience Pub Date : 2022-12-01 DOI: 10.1016/j.iintel.2022.100011

Xiaowei Liao , Shenhao Dong , Yuanfeng Duan , Y.Q. Ni

{"title":"Experimental validation of the design formulas for vibration control of stay cables using external dampers","authors":"Xiaowei Liao , Shenhao Dong , Yuanfeng Duan , Y.Q. Ni","doi":"10.1016/j.iintel.2022.100011","DOIUrl":"10.1016/j.iintel.2022.100011","url":null,"abstract":"<div><p>Transversely installing the dampers on the stay cable has been widely adopted to control its excessive vibration. However, the optimum damper size and its damping efficiency is subject to the effect of damper parameters, including the damper coefficient, damper inner stiffness and support stiffness, damper concentrated mass. Based on the attainable damping-ratio formulas of the stay cable–damper system proposed by authors, this study carries out a serials of experimental study on the cable-damper system to investigate the effect of the above-mentioned damper parameters and to consolidate the accuracy of the proposed damping-ratio equation. A scaled sagged stay cable has been built, and a small-size shear-mode viscoelastic damper has been developed. Results indicate that the larger damper stiffness and the lower support stiffness degrade the achievable damping ratio. Increasing the damper mass properly seems to improve the achievable damping ratio but still needs more full-scale test verification. The sag effect of the cable reduces considerably the attainable damping ratio for the first-order mode while affect marginally for the higher mode. Experimental results of the attainable damping-ratio considering the effect of the damper parameters commonly align with the theoretical values from the design formula. Therefore, the design formula is qualified to facilitate the design of the damper size.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"1 2","pages":"Article 100011"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772991522000111/pdfft?md5=5ef091dd45b2d50bb700cae9cf1bcadf&pid=1-s2.0-S2772991522000111-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86487244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0