Journal of Infrastructure Intelligence and Resilience最新文献_第6页

Comparative analysis of machine learning techniques for predicting water main failures in the City of Kitchener 预测基奇纳市水管故障的机器学习技术的比较分析

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-09-01 DOI: 10.1016/j.iintel.2023.100044

Abdelhady Omar, Atefeh Delnaz, Mazdak Nik-Bakht

{"title":"Comparative analysis of machine learning techniques for predicting water main failures in the City of Kitchener","authors":"Abdelhady Omar, Atefeh Delnaz, Mazdak Nik-Bakht","doi":"10.1016/j.iintel.2023.100044","DOIUrl":"https://doi.org/10.1016/j.iintel.2023.100044","url":null,"abstract":"<div><p>The resilience of water main networks highly depends on the capacity for identifying and fixing structural failures in the system as fast as possible. Given the buried nature of such systems, this will be hard and costly through manual or semi-automated inspections. In this paper, a data-driven method is applied to predict the failure of water mains in the City of Kitchener. Six machine learning prediction models were developed under two scenarios: global models, which consider the three dominant material types in the network; and the homogenous model, which considers only cast-iron pipes. The water main’s condition score, length, and criticality score were the most influential factors on the pipe failure. The random forest models outperformed the other machine learning models with an accuracy of 97.3% and an F1-score of 80.4%; the homogenous modeling showed superior performance than the global one with an F1-score of 86.0%. The results showed that more than 72% of breaks could have been potentially prevented by monitoring and upgrading only 8% of the network. The superiority of the developed models lies in their ability to predict pipe failures with the least number of false alarms.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 3","pages":"Article 100044"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49879449","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: 2

Literature review of digital twin technologies for civil infrastructure 民用基础设施数字孪生技术的文献综述

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-09-01 DOI: 10.1016/j.iintel.2023.100050

Cheng Liu, Peining Zhang, Xuebing Xu

引用次数: 3

Risk analysis of onshore oil and gas pipelines: Literature review and bibliometric analysis 陆上油气管道风险分析:文献综述与文献计量分析

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-08-14 DOI: 10.1016/j.iintel.2023.100052

Haile Woldesellasse , Solomon Tesfamariam

引用次数: 0

Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey 基于无人机的结构振动测量与状态评估计算机视觉研究综述

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-06-01 DOI: 10.1016/j.iintel.2023.100031

Kai Zhou , Zequn Wang , Yi-Qing Ni , Yang Zhang , Jiong Tang

{"title":"Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey","authors":"Kai Zhou , Zequn Wang , Yi-Qing Ni , Yang Zhang , Jiong Tang","doi":"10.1016/j.iintel.2023.100031","DOIUrl":"https://doi.org/10.1016/j.iintel.2023.100031","url":null,"abstract":"<div><p>With the rapid advance in camera sensor technology, the acquisition of high-resolution images or videos has become extremely convenient and cost-effective. Computer vision that extracts semantic knowledge directly from digital images or videos, offers a promising solution for non-contact and full-field structural vibration measurement and condition assessment. Unmanned aerial vehicles (UAVs), also known as flying robots or drones, are being actively developed to suit a wide range of applications. Taking advantage of its excellent mobility and flexibility, camera-equipped UAV systems can facilitate the use of computer vision, thus enhancing the capacity of the structural condition assessment. The current article aims to provide a concise survey of the recent progress and applications of UAV-based computer vision in the field of structural dynamics. The different aspects to be discussed include the UAV system design and algorithmic development in computer vision. The main challenges, future trends, and opportunities to advance the technology and close the gap between research and practice will also be stated.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 2","pages":"Article 100031"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49903749","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: 2

Comparison of multimodal RGB-thermal fusion techniques for exterior wall multi-defect detection 多模态rgb -热融合技术在外墙多缺陷检测中的比较

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-06-01 DOI: 10.1016/j.iintel.2023.100029

Xincong Yang , Runhao Guo , Heng Li

{"title":"Comparison of multimodal RGB-thermal fusion techniques for exterior wall multi-defect detection","authors":"Xincong Yang , Runhao Guo , Heng Li","doi":"10.1016/j.iintel.2023.100029","DOIUrl":"https://doi.org/10.1016/j.iintel.2023.100029","url":null,"abstract":"<div><p>Exterior wall inspections are critical to ensuring public safety around aging buildings in urban cities. Conventional manual approaches are dangerous, time-consuming and labor-intensive. AI-enabled drone platforms have recently become popular and provide an alternative to serving automated and intelligent inspections. However, current identification only investigates RGB image of visual defects or thermal images of thermal anomalies without considering the continuous monitoring and the conversion between multiple defects. To gain new insights with modality-specific information, this research therefore compares the performance of early, intermediate, and late multimodal RGB-Thermal images fusion techniques for multi-defect detection in facades, especially for detached tiles and missing tiles. Numerous RGB and thermals images from an ageing campus building were collected as a dataset and the classical UNet for image segmentation was modified as a benchmark. The comparative results regarding accuracy (mAP, ROC, and AUC) proved that early fusion model performed well in distinguishing detached tiles and missing tiles from complex and congested facades. Nevertheless, intermediate and late fusion models were proven to be more efficient and effective with an optimal architecture, achieving high mean average accuracy with much less parameters. In addition, the results also showed that multi-modal fusion techniques can significantly improve the performance of multi-defects detection without adding a large number of parameters to single-modal AI models.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 2","pages":"Article 100029"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49903752","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: 1

Magnetorheological elastomer base isolation in civil engineering: A review 土木工程中磁流变弹性体基础隔震:综述

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-06-01 DOI: 10.1016/j.iintel.2023.100039

Shida Jin , Jian Yang , Shuaishuai Sun , Lei Deng , Zexin Chen , Liping Gong , Haiping Du , Weihua Li

引用次数: 0

Application of LS-PCP model based on EWM in predicting settlement of high-speed railway roadbed 基于EWM的LS-PCP模型在高速铁路路基沉降预测中的应用

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-06-01 DOI: 10.1016/j.iintel.2023.100037

Dejun Ba , Guangwu Chen , Peng Li

{"title":"Application of LS-PCP model based on EWM in predicting settlement of high-speed railway roadbed","authors":"Dejun Ba , Guangwu Chen , Peng Li","doi":"10.1016/j.iintel.2023.100037","DOIUrl":"https://doi.org/10.1016/j.iintel.2023.100037","url":null,"abstract":"<div><p>Accurate prediction of roadbed settlement is of great significance to the maintenance of high-speed railway roadbeds and the safe operation of trains. This study proposes a long- and short-term parallel combined prediction (LS-PCP) model based on the prediction characteristics of the LSTM model, GM(1.1) model, and ESP model and applies it to the prediction of roadbed settlement of high-speed railways. First, according to the spatiotemporal characteristics, slow-varying characteristics, and short valid data characteristics of the settlement process of a high-speed railway roadbed, this study designed a combined form of long-term LSTM prediction and short-term GM(1.1) and ESP sliding prediction to overcome the problem of large prediction errors when roadbed settlement enters different stages. Next, the mutual inclusiveness of the member models’ prediction results is tested by the principle of inclusiveness test, and the combination weights are determined by considering the information entropy of the member models through the entropy weighting method. Finally, the combined prediction results of the proposed LS-PCP model are verified from the actual monitoring data of a high-speed railway in Hebei Province and the Guiguang High-speed Railway. The results prove that the proposed LS-PCP combined model has higher prediction accuracy, and the prediction data of this model have important reference significance for the maintenance of high-speed railway roadbeds and safe vehicle operation.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 2","pages":"Article 100037"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49903751","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

Generative adversarial network for predicting visible deterioration and NDE condition maps in highway bridge decks 基于生成对抗网络的公路桥面可见劣化和NDE状态预测

Journal of Infrastructure Intelligence and Resilience Pub Date : 2023-06-01 DOI: 10.1016/j.iintel.2023.100042

Amirali Najafi , John Braley , Nenad Gucunski , Ali Maher

{"title":"Generative adversarial network for predicting visible deterioration and NDE condition maps in highway bridge decks","authors":"Amirali Najafi , John Braley , Nenad Gucunski , Ali Maher","doi":"10.1016/j.iintel.2023.100042","DOIUrl":"https://doi.org/10.1016/j.iintel.2023.100042","url":null,"abstract":"<div><p>Bridge decks tend to degrade faster than other bridge components due to environment exposure and vehicular loading. Periodic degradation monitoring is needed for timely rehabilitation measures and development of service life models in bridge decks. Surface degradation are identified through visual inspection (VI) and post-processing of high-definition imagery. Although VI is the primary NDE method employed by most transportation authorities, many anomalies (e.g., cracking, corrosion, and delamination) remain hidden under the surface until deteriorations have grown large enough to surface (e.g., spalling). Subsurface degradation is best identified through other forms of non-destructive evaluation (NDE). Inferences can be made between the various NDE methods, as the mechanisms behind the damages sensed by each method are shared. For instance, condition map from an NDE method may infer future visible deterioration, as well as condition maps for other NDE methods. In this paper, a deep learning approach based in a conditional generative adversarial network is presented for modeling of plausible visible deterioration and NDE condition maps. Two applications are explored: (i) visualization of plausible future deterioration based on current NDE condition map, and (ii) visualization of condition maps for NDE methods from other NDE methods. Field and experimental data from the BEAST facility at Rutgers University are used to develop the training databases for each application.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"2 2","pages":"Article 100042"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49903754","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 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