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

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

Analyzing connectivity reliability and critical units for highway networks in high-intensity seismic region using Bayesian network 基于贝叶斯网络的高烈度地震区公路网连通性可靠性及关键单元分析

Journal of Infrastructure Intelligence and Resilience Pub Date : 2022-12-01 DOI: 10.1016/j.iintel.2022.100006

Liguo Jiang, Shuping Huang

{"title":"Analyzing connectivity reliability and critical units for highway networks in high-intensity seismic region using Bayesian network","authors":"Liguo Jiang, Shuping Huang","doi":"10.1016/j.iintel.2022.100006","DOIUrl":"10.1016/j.iintel.2022.100006","url":null,"abstract":"<div><p>It is important to evaluate the connectivity reliability of highway networks for the emergency response and rehabilitation of transportation systems in high-intensity seismic regions. Given the complexity and uncertainty of seismic damages of highway networks in high-intensity seismic region, this paper describes a Bayesian network (BN) model for evaluating the network connectivity reliability and identifying critical units. The empirical prediction method is employed to compute the connectivity probability of highway units based on the structural damage of units under earthquakes. A success tree is used to construct the network connectivity graph. Then, the network connectivity graph is converted into the BN model by BN method with the connectivity probability of highway units as prior probability. Sensitivity analysis and Bayesian updating are performed in BN to identify critical units and dynamically assess the connectivity reliability of highway network. The proposed model is applied to a highway network composed of G213 and S9 in the Wenchuan Earthquake. The results show that the BN model integrates the structural damage of units with the functional performance of the highway network in high-intensity seismic region. Bayesian updating allows the posterior probability of segments and origin–destination pairs to be computed, providing an online evaluation of the functional performance of the highway network. The identification of critical units at each stage enables seismic reinforcement priority, thus contributing to the rehabilitation on connectivity reliability of network system.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"1 2","pages":"Article 100006"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772991522000068/pdfft?md5=be55827b511115c726fe2fafd3a4eff9&pid=1-s2.0-S2772991522000068-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85596146","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: 5

Computer vision-based generating and updating of the public transit bus stop inventories 基于计算机视觉的公交站点清单生成与更新

Journal of Infrastructure Intelligence and Resilience Pub Date : 2022-12-01 DOI: 10.1016/j.iintel.2022.100016

Seyed Masoud Shameli , Ehsan Rezazadeh Azar

{"title":"Computer vision-based generating and updating of the public transit bus stop inventories","authors":"Seyed Masoud Shameli , Ehsan Rezazadeh Azar","doi":"10.1016/j.iintel.2022.100016","DOIUrl":"10.1016/j.iintel.2022.100016","url":null,"abstract":"<div><p>An updated asset inventory enables public transit agencies to make informed decisions on the maintenance and improvement of their physical assets. Conventional asset inventory surveys mainly rely on manual site visits and subsequent analysis, which are time consuming and expensive. Many research projects developed methods to automate condition assessment of civil infrastructure assets, such as road surfaces, structures, and sewage systems; however, research on the automated detection and condition assessment of public transit infrastructure is very limited. This research aims to contribute to addressing this gap by introducing an automated computer vision-based system to detect main assets in transit bus stops and update asset inventories using video frames captured by on-board cameras on operating buses. This system uses existing hardware systems on public buses to gather required data and then uses Deep Convolutional Neural Networks (DCNNs) to recognize public transit assets. In addition, a related method was proposed to process manually collected images for semi-automated asset inventory updating. The experimental results showed more than 95% detection rates in videos, which demonstrate potentials for practical applications.</p></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"1 2","pages":"Article 100016"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772991522000160/pdfft?md5=aa343d14b03a169b1ecf025217d0f517&pid=1-s2.0-S2772991522000160-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81977586","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: 1