Pub Date : 2020-03-23DOI: 10.1186/s43065-020-00001-2
G. Long, You-jun Xie, Zhiyu Luo, Lu Qu, John L. Zhou, Wengui Li
{"title":"Deterioration mechanism of steam-cured concrete subjected to coupled environmental acid and drying action","authors":"G. Long, You-jun Xie, Zhiyu Luo, Lu Qu, John L. Zhou, Wengui Li","doi":"10.1186/s43065-020-00001-2","DOIUrl":"https://doi.org/10.1186/s43065-020-00001-2","url":null,"abstract":"","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141221010","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}
Pub Date : 2020-03-23DOI: 10.1186/s43065-020-00002-1
Hao Qin, M. Stewart
{"title":"Risk-based cost-benefit analysis of climate adaptation measures for Australian contemporary houses under extreme winds","authors":"Hao Qin, M. Stewart","doi":"10.1186/s43065-020-00002-1","DOIUrl":"https://doi.org/10.1186/s43065-020-00002-1","url":null,"abstract":"","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":" 3-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141221243","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}
Pub Date : 2020-03-23DOI: 10.1186/s43065-020-00006-x
Xianming Shi
{"title":"Foreword from the editor-in-chief: the inaugural issue of journal of infrastructure preservation and resilience","authors":"Xianming Shi","doi":"10.1186/s43065-020-00006-x","DOIUrl":"https://doi.org/10.1186/s43065-020-00006-x","url":null,"abstract":"","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141221306","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}
Pub Date : 2020-03-23DOI: 10.1186/s43065-020-00004-z
B. Abdulla, Amin Kiaghadi, H. Rifai, B. Birgisson
{"title":"Characterization of vulnerability of road networks to fluvial flooding using SIS network diffusion model","authors":"B. Abdulla, Amin Kiaghadi, H. Rifai, B. Birgisson","doi":"10.1186/s43065-020-00004-z","DOIUrl":"https://doi.org/10.1186/s43065-020-00004-z","url":null,"abstract":"","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s43065-020-00004-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65799893","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}
Pub Date : 2020-03-23DOI: 10.1186/s43065-020-00005-y
Milad Salemi, Hao Wang
{"title":"Fatigue life prediction of pipeline with equivalent initial flaw size using Bayesian inference method","authors":"Milad Salemi, Hao Wang","doi":"10.1186/s43065-020-00005-y","DOIUrl":"https://doi.org/10.1186/s43065-020-00005-y","url":null,"abstract":"","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s43065-020-00005-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65799946","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}
Pub Date : 2020-01-01Epub Date: 2020-08-06DOI: 10.1186/s43065-020-00010-1
Aaron Clark-Ginsberg, Ismael Arciniegas Rueda, Jonathon Monken, Jay Liu, Hong Chen
The COVID-19 pandemic has the potential to compromise the ability of critical infrastructure utilities to respond to or mitigate natural hazards like wildfires and hurricanes. This article describes the ways that an energy organization, the regional transmission operator PJM, is preparing for hurricanes during the COVID-19 pandemic. PJM is using a combination of technological and organizational processes to prepare for hurricanes during the pandemic. Activities include the development of a third control room to increase redundancy and maintaining social distance at control center, investment in more resilient communications technology to maintain connectivity, and taking a holistic approach to identifying issues related to supply chain and fuel security. With this mix of organizational and technological processes, we argue that critical infrastructure resilience should be understood as a sociotechnical construct and identify several recommendations for improving resilience. The article has implications for policymakers working to maintain infrastructure resilience to natural hazards during the COVID-19 pandemic.
{"title":"Maintaining critical infrastructure resilience to natural hazards during the COVID-19 pandemic: hurricane preparations by US energy companies.","authors":"Aaron Clark-Ginsberg, Ismael Arciniegas Rueda, Jonathon Monken, Jay Liu, Hong Chen","doi":"10.1186/s43065-020-00010-1","DOIUrl":"https://doi.org/10.1186/s43065-020-00010-1","url":null,"abstract":"<p><p>The COVID-19 pandemic has the potential to compromise the ability of critical infrastructure utilities to respond to or mitigate natural hazards like wildfires and hurricanes. This article describes the ways that an energy organization, the regional transmission operator PJM, is preparing for hurricanes during the COVID-19 pandemic. PJM is using a combination of technological and organizational processes to prepare for hurricanes during the pandemic. Activities include the development of a third control room to increase redundancy and maintaining social distance at control center, investment in more resilient communications technology to maintain connectivity, and taking a holistic approach to identifying issues related to supply chain and fuel security. With this mix of organizational and technological processes, we argue that critical infrastructure resilience should be understood as a sociotechnical construct and identify several recommendations for improving resilience. The article has implications for policymakers working to maintain infrastructure resilience to natural hazards during the COVID-19 pandemic.</p>","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":"1 1","pages":"10"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s43065-020-00010-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39891722","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}
Spectral computed tomography (CT) has a great potential in material identification and decomposition. To achieve high-quality material composition images and further suppress the x-ray beam hardening artifacts, we first propose a one-step material reconstruction model based on Taylor's first-order expansion. Then, we develop a basic material reconstruction method named material simultaneous algebraic reconstruction technique (MSART). Considering the local similarity of each material image, we incorporate a powerful block matching frame (BMF) into the material reconstruction (MR) model and generate a BMF based MR (BMFMR) method. Because the BMFMR model contains the L 0-norm problem, we adopt a split-Bregman method for optimization. The numerical simulation and physical phantom experiment results validate the correctness of the material reconstruction algorithms and demonstrate that the BMF regularization outperforms the total variation and no-local mean regularizations.
光谱计算机断层扫描(CT)在材料识别和分解方面具有巨大潜力。为了获得高质量的材料成分图像并进一步抑制 X 射线束硬化伪影,我们首先提出了基于泰勒一阶展开的一步材料重建模型。然后,我们开发了一种基本的材料重建方法,命名为材料同步代数重建技术(MSART)。考虑到每个材料图像的局部相似性,我们在材料重建(MR)模型中加入了强大的块匹配框架(BMF),并生成了基于 BMF 的 MR(BMFMR)方法。由于 BMFMR 模型包含 L 0-norm 问题,我们采用了分裂-布雷格曼方法进行优化。数值模拟和物理幻影实验结果验证了材料重建算法的正确性,并证明 BMF 正则化优于总变异正则化和无局均正则化。
{"title":"Block matching frame based material reconstruction for spectral CT.","authors":"Weiwen Wu, Qian Wang, Fenglin Liu, Yining Zhu, Hengyong Yu","doi":"10.1088/1361-6560/ab51db","DOIUrl":"10.1088/1361-6560/ab51db","url":null,"abstract":"<p><p>Spectral computed tomography (CT) has a great potential in material identification and decomposition. To achieve high-quality material composition images and further suppress the x-ray beam hardening artifacts, we first propose a one-step material reconstruction model based on Taylor's first-order expansion. Then, we develop a basic material reconstruction method named material simultaneous algebraic reconstruction technique (MSART). Considering the local similarity of each material image, we incorporate a powerful block matching frame (BMF) into the material reconstruction (MR) model and generate a BMF based MR (BMFMR) method. Because the BMFMR model contains the L <sub>0</sub>-norm problem, we adopt a split-Bregman method for optimization. The numerical simulation and physical phantom experiment results validate the correctness of the material reconstruction algorithms and demonstrate that the BMF regularization outperforms the total variation and no-local mean regularizations.</p>","PeriodicalId":73793,"journal":{"name":"Journal of infrastructure preservation and resilience","volume":"2 1","pages":"235011"},"PeriodicalIF":3.5,"publicationDate":"2019-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376577/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87885585","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}