Journal of infrastructure preservation and resilience最新文献

{"title":"Probability assessment of slope instability in seasonally cold regions under climate change","authors":"Yulong Zhu, T. Ishikawa, T. Yamada, S. Subramanian","doi":"10.21203/RS.3.RS-408312/V1","DOIUrl":"https://doi.org/10.21203/RS.3.RS-408312/V1","url":null,"abstract":"To semi-quantitatively assess the effects of climate change on the slope failures, this paper proposes an effective approach for evaluating the influences of climate change on slope stability in seasonally cold regions. To discuss climate change, this study firstly analyzes the trend of the two main climate factors (precipitation and air temperature) based on the regression analysis results of the meteorological monitoring data during the past 120 years in different scales (e.g., world, country (Japan), and city (Sapporo)), and the downscaled outputs of three different regional atmospheric models (RAMs) with lateral boundary conditions from three different general circulation models (GCMs). Next, to discuss the effects of different climate factors (air temperature, precipitation, etc.) and to determine the key climate factors on the slope instability, a slope stability assessment approach for evaluating the effects of climate changes on slope instability is proposed through the water content simulation and slope stability analysis with considering freeze-thaw action. Finally, to check the effectiveness of the above assessment approach, assessment of instability of an actual highway embankment slope with the local layer geometry is done by applying the past and predicted future climate data. The results indicate that affected by global warming, the air temperature rise in some cold cities is more serious. The climate changes (especially the increase in precipitation) in the future will increase the infiltration during the Spring season. It will lengthen the time that the highway slope is in an unstable state due to high volumetric water content, causing the occurrence of slope failures will be more concentrated in April. While during the Ssummer-Autumn period, the time domain of its occurrence will become wider.","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47799425","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}

{"title":"Analysis methodology and assessment indices of vulnerability for asphalt pavement in cold regions","authors":"Tongxu Wang, Xianyong Ma, Huanyu Li, Zejiao Dong","doi":"10.1186/s43065-021-00028-z","DOIUrl":"https://doi.org/10.1186/s43065-021-00028-z","url":null,"abstract":"","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s43065-021-00028-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65800304","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}

{"title":"Machine learning model and strategy for fast and accurate detection of leaks in water supply network","authors":"Xudong Fan, Xijin Zhang, X. Yu","doi":"10.1186/s43065-021-00021-6","DOIUrl":"https://doi.org/10.1186/s43065-021-00021-6","url":null,"abstract":"","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65800657","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}

{"title":"Permafrost thaw and ground settlement considering long-term climate impact in northern Alaska","authors":"Z. Yang, Kannon C. Lee, Haibo Liu","doi":"10.1186/s43065-021-00025-2","DOIUrl":"https://doi.org/10.1186/s43065-021-00025-2","url":null,"abstract":"","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s43065-021-00025-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44948139","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}

{"title":"Coastal green infrastructure to mitigate coastal squeeze","authors":"Valeria Chávez, Debora Lithgow, M. Losada, R. Silva-Casarín","doi":"10.1186/s43065-021-00026-1","DOIUrl":"https://doi.org/10.1186/s43065-021-00026-1","url":null,"abstract":"","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s43065-021-00026-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65800720","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}

{"title":"Classification of pavement climatic regions through unsupervised and supervised machine learnings","authors":"Qiao Dong, Xueqin Chen, S. Dong, Jun Zhang","doi":"10.1186/s43065-021-00020-7","DOIUrl":"https://doi.org/10.1186/s43065-021-00020-7","url":null,"abstract":"","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s43065-021-00020-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65800023","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}

{"title":"Time-dependent reliability of (weighted) k-out-of-n systems with identical component deterioration","authors":"Cao Wang","doi":"10.1186/s43065-021-00018-1","DOIUrl":"https://doi.org/10.1186/s43065-021-00018-1","url":null,"abstract":"","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65799971","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}

{"title":"Understanding the barriers to NET-ZERO transport for rural roads: a Northern Ireland case study.","authors":"Myra Lydon,&nbsp;Darragh Lydon,&nbsp;Nicola-Ann Stevens,&nbsp;Su Taylor,&nbsp;Juliana Early,&nbsp;Adele Marshall","doi":"10.1186/s43065-021-00038-x","DOIUrl":"https://doi.org/10.1186/s43065-021-00038-x","url":null,"abstract":"<p><strong>Introduction: </strong>Climate-related disasters have cost the world over £450 billion over the last 3 years. In the race to mitigate these effects, the UK government has committed to net-zero emissions by 2050. Transport provides the largest single sector contribution to CO₂ emissions, the road network accounts for up to 91%. As the only UK country without a formal climate change bill Northern Ireland could compromise the overall effort.</p><p><strong>Case description: </strong>In this research a survey of road asset owners, managers, academics, consultants, public transport providers was undertaken to seek to understand the current barriers to adapting a dispersed rural road network in Northern Ireland for net-zero transport. The survey data was collected though an online form with a combination of multiple choice and open ended questions. Thematic analysis was used to code and analyse the data collected which enabled a discussion around the key expert opinions gathered.</p><p><strong>Discussion and evaluation: </strong>The paper presents details of the current road network in Northern Ireland and highlights some of the issues faced by asset owners. The survey questions were developed though engagement with transport professionals in Northern Ireland and focus predominantly on road use rather than the impact of current land management practices or environmental conditions such as flood risk. The response highlights a clear enthusiasm for change in the operation of the public road network which is hindered by a lack of government strategy and limited public consultation.</p><p><strong>Conclusions: </strong>The high response rate (41%) for the survey highlights the interest of those in the transport sector to engage in activities which can support a better understanding of how road networks contribute to CO₂ emissions. Within the survey data a requirement for behavioural change was highlighted as a key step to reduce transport related emissions, the enthusiasm for change demonstrates this is the optimum time to engage with the public and develop clear transport strategies. More accurate findings and empirical evidence could have been established had the study considered specific, transport planning, environmental and land use conditions for Northern Ireland. This will be the focus of further research in this area to enable clear translation of the research to other countries.</p>","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39891724","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}

{"title":"A review of crack growth models for near-neutral pH stress corrosion cracking on oil and gas pipelines.","authors":"Haotian Sun,&nbsp;Wenxing Zhou,&nbsp;Jidong Kang","doi":"10.1186/s43065-021-00042-1","DOIUrl":"https://doi.org/10.1186/s43065-021-00042-1","url":null,"abstract":"<p><p>This paper presents a review of four existing growth models for near-neutral pH stress corrosion cracking (NNpHSCC) defects on buried oil and gas pipelines: Chen et al.'s model, two models developed at the Southwest Research Institute (SwRI) and Xing et al.'s model. All four models consider corrosion fatigue enhanced by hydrogen embrittlement as the main growth mechanism for NNpHSCC. The predictive accuracy of these growth models is investigated based on 39 crack growth rates obtained from full-scale tests conducted at the CanmetMATERIALS of Natural Resources Canada of pipe specimens that are in contact with NNpH soils and subjected to cyclic internal pressures. The comparison of the observed and predicted crack growth rates indicates that the hydrogen-enhanced decohesion (HEDE) component of Xing et al.'s model leads to on average reasonably accurate predictions with the corresponding mean and coefficient of variation (COV) of the observed-to-predicted ratios being 1.06 and 61.2%, respectively. The predictive accuracy of the other three models are markedly poorer. The analysis results suggest that further research is needed to improve existing growth models or develop new growth models to facilitate the pipeline integrity management practice with respect to NNpHSCC.</p>","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591668/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39645863","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}

{"title":"Planning considerations of green corridors for the improvement of biodiversity resilience in suburban areas.","authors":"Yuhong Wang,&nbsp;Siqi Jia,&nbsp;Zhe Wang,&nbsp;Yang Chen,&nbsp;Shicong Mo,&nbsp;N N Sze","doi":"10.1186/s43065-021-00023-4","DOIUrl":"https://doi.org/10.1186/s43065-021-00023-4","url":null,"abstract":"<p><p>The world is experiencing a rapid loss in the biodiversity of pollinator insects. Habitat segmentation caused by infrastructures is one of the contributing factors. To improve the habitat connectivity of pollinator insects, it is proposed in this study to build green corridors for pollinators over linear infrastructures such as highways. In the context of suburban areas of a large city, this study examines differences in air parameters between natural environments and a roadside environment based on monitored and estimated data. Influences of different green corridor designs on floral scent dispersion are also investigated using computational fluid dynamics (CFD) modeling and simulation. It is found that, if flower plants are installed on highway overpasses, the floral scents would be better preserved as compared with those in a natural environment due to the lower concentrations of oxidative radicals in the air above highways. The stronger floral scents and their wider dispersion may help attract pollinators. Conversely, highway air contains a variety of volatine organic compounds (VOCs) that are traced to highway operations and pavements. Hence, the overall profile of VOCs in a highway environment differs from that in a natural environment. Results from CFD modeling and simulation suggest that the use of green corridors planted with flowers on the highway overpass can greatly improve the connectivity of floral scents. Hence, with proper engineering design and right combination of plant species, green corridors built on highway overpasses have the potential to facilitate pollinators to cross the road, thereby improving their habitat connectivity and resilience against declining biodiversity.</p>","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s43065-021-00023-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39891723","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}