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Green stormwater infrastructure (GSI) 1

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Demands and challenges for construction of marine infrastructures in China

Huajun LI; Yong LIU; Bingchen LIANG; Fushun LIU; Guoxiang WU; Junfeng DU; Huimin HOU; Aijun LI; Luming SHI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 551-563 doi: 10.1007/s11709-022-0839-8

Abstract: Thus, marine infrastructures are vital to a nation’s economic sustainable development.

Keywords： marine infrastructures     ocean engineering     exploitation of marine resource     coastal development     emerging    

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Pavement sustainability index for highway infrastructures: A case study of Maryland

Stella O. OBAZEE-IGBINEDION, Oludare OWOLABI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 2,   Pages 192-200 doi: 10.1007/s11709-017-0413-y

Abstract: Pavement deterioration creates conditions that undermine their performances, which gives rise to the need for maintenance and rehabilitation. This paper develops a mathematical multi-linear regression analysis (MLRA) model to determine a pavement sustainability index ( ) as dependent variable for flexible pavements in Maryland. Four categories of pavement performance evaluation indicators are subdivided into seven pavement condition indices and analyzed as independent variables for each section of pavement. Data are collected from five different roadways using field evaluations and existing database. Results indicate that coefficient of determination ( ) is correlated and significant, = 0.959. Of the seven independent variables, present serviceability index ( ) is the most significant with a coefficient value of 0.032, present serviceability rating ( ) coefficient value= 0.028, and international roughness index ( ) coefficient value= ?0.001. Increasing each unit value of coefficients for and would increase the value of ; thereby providing a more sustainable pavement infrastructure; which explains the significance of the model and why will most likely impact environmental, economic and social values.

Keywords： pavement indices     sustainability     pavement performance     flexible pavements    

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Quantitative analysis of impact of green stormwater infrastructures on combined sewer overflow control

Jinsong Tao, Zijian Li, Xinlai Peng, Gaoxiang Ying

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0952-4

Abstract: Stimulated by the recent USEPA’s green stormwater infrastructure (GSI) guidance and policies, GSI systems have been widely implemented in the municipal area to control the combined sewer overflows (CSOs), also known as low impact development (LID) approaches. To quantitatively evaluate the performance of GSI systems on CSO and urban flooding control, USEPA-Stormwater Management Model (SWMM) model was adopted in this study to simulate the behaviors of GSI systems in a well-developed urban drainage area, PSW45, under different circumstances. The impact of different percentages of stormwater runoff transported from impervious surfaces to the GSI systems on CSO and urban flooding control has also been investigated. Results show that with current buildup, GSI systems in PSW45 have the best performance for low intensity and short duration events on both volume and peak flow reductions, and have the worst performance for high intensity and long duration events. Since the low intensity and short duration events are dominant from a long-term perspective, utilizing GSI systems is considered as an effective measure of CSO control to meet the long-term control strategy for PSW45 watershed. However, GSI systems are not suitable for the flooding control purpose in PSW45 due to the high occurrence possibility of urban flooding during or after high intensity events where GSI systems have relatively poor performance no matter for a short or long duration event.

Keywords： Green stormwater infrastructure (GSI)     Combined sewer overflows (CSOs)     Urban flooding     Low impact development (LID)     Stormwater Management Model (SWMM)    

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Current situation and future perspectives of European natural gas sector

Vincenzo BIANCO,Federico SCARPA,Luca A. TAGLIAFICO

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 1-6 doi: 10.1007/s11708-014-0340-8

Abstract: In fact, a sharp increase of the demand was observed and, at the same time, a lot of infrastructures

Keywords： natural gas     natural gas market     oil-linked contracts     supply infrastructures     gas hubs    

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Advances in Intellectualization of Transportation Infrastructures Review

Yanliang Du, Tinghua Yi, Xiaojun Li, Xiaoli Rong, Longjun Dong, Dawei Wang, Yang Gao, Zhen Leng

Engineering 2023, Volume 24, Issue 5,   Pages 240-253 doi: 10.1016/j.eng.2023.01.011

Abstract: computer techniques, artificial intelligence, and automatic control, new-generation transportation infrastructuresactively promoting the application of innovative intelligence-based technologies in transportation infrastructuresdefinition, scientific foundation, and development process for the intellectualization of transportation infrastructuresFinally, a discussion on the future development of the intellectualization of transportation infrastructures

Keywords： Intellectualization     Transportation infrastructures     Optimal design     Automatic construction     Structural    

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: Today, the most commonly used civil infrastructure inspection method is based on a visual assessment conducted by certified inspectors following prescribed protocols. However, the increase in aggressive environmental and load conditions, coupled with the achievement of many structures of the life-cycle end, has highlighted the need to automate damage identification and satisfy the number of structures that need to be inspected. To overcome this challenge, this paper presents a method for automating concrete damage classification using a deep convolutional neural network. The convolutional neural network was designed after an experimental investigation of a wide number of pretrained networks, applying the transfer-learning technique. Training and validation were conducted using a database built with 1352 images balanced between “undamaged”, “cracked”, and “delaminated” concrete surfaces. To increase the network robustness compared to images in real-world situations, different image configurations have been collected from the Internet and on-field bridge inspections. The GoogLeNet model, with the highest validation accuracy of approximately 94%, was selected as the most suitable network for concrete damage classification. The results confirm that the proposed model can correctly classify images from real concrete surfaces of bridges, tunnels, and pavement, resulting in an effective alternative to the current visual inspection techniques.

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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Strategies for Establishing and Perfecting Long-Life Security Strategy of Transportation Infrastructure

Du Yanliang,Sun Baochen,Wu Zhishen,Qian Yongjiu and Gao Yang

Strategic Study of CAE 2017, Volume 19, Issue 6,   Pages 1-5 doi: 10.15302/J-SSCAE-2017.06.001

Abstract:

China's transportation infrastructure is facing severe challenges such as serious structural defects, short life, aging, and the absence of a long-life security strategy. Therefore, this paper complies the advancements in developed countries regarding these issues and proposes the overall objectives, strategic tasks, and related recommendations for constructing a long-life security system for China’s transportation infrastructure. It also presents systematic research into construction of long-life security systems for transportation infrastructure. This research has a very significant strategic significance in ensuring the safe long-life service of transportation infrastructure and safe and smooth traffic arteries, supporting sustainable development of the national economy, protecting people’s lives in a stable and orderly manner, and contributing to national security and social stability.

Keywords： transportation infrastructures     long life     security    

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Non-nuclear Electromagnetic Pulse Threat of Critical Infrastructures and Protection Strategies

Wu Qi , Liu Yuanan , Wen Yinghong , Zhao Mingmin , Wang Weimin ,Zhang Jinbao , Su Donglin

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 249-258 doi: 10.15302/J-SSCAE-2022.04.022

Abstract:

Major infrastructures are vital for the modernization and operation ofa country and the safety of major infrastructures is crucial for national security.Therefore, the non-nuclear EMP has become a realistic threat for major infrastructures.Ensuring the electromagnetic safety of major infrastructures is an urgent strategic task for China.This study takes the non-nuclear EMP threat of major infrastructures as the research object, clarifies

Keywords： critical infrastructure     electromagnetic pulse     graded protection     emergency response     electromagnetic protection    

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Title Author Date Type Operation

Demands and challenges for construction of marine infrastructures in China

Huajun LI; Yong LIU; Bingchen LIANG; Fushun LIU; Guoxiang WU; Junfeng DU; Huimin HOU; Aijun LI; Luming SHI

Journal Article

Pavement sustainability index for highway infrastructures: A case study of Maryland

Stella O. OBAZEE-IGBINEDION, Oludare OWOLABI

Journal Article

Quantitative analysis of impact of green stormwater infrastructures on combined sewer overflow control

Jinsong Tao, Zijian Li, Xinlai Peng, Gaoxiang Ying

Journal Article

Current situation and future perspectives of European natural gas sector

Vincenzo BIANCO,Federico SCARPA,Luca A. TAGLIAFICO

Journal Article

Advances in Intellectualization of Transportation Infrastructures

Yanliang Du, Tinghua Yi, Xiaojun Li, Xiaoli Rong, Longjun Dong, Dawei Wang, Yang Gao, Zhen Leng

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

Mo Yilong: Metamaterial Based Vibration Isolation and Acoustic Mitigation of Future civil infrastructures

莫诒隆(高级职称)

20 Jan 2021

Conference Videos

Strategies for Establishing and Perfecting Long-Life Security Strategy of Transportation Infrastructure

Du Yanliang,Sun Baochen,Wu Zhishen,Qian Yongjiu and Gao Yang

Journal Article

Non-nuclear Electromagnetic Pulse Threat of Critical Infrastructures and Protection Strategies

Wu Qi , Liu Yuanan , Wen Yinghong , Zhao Mingmin , Wang Weimin ,Zhang Jinbao , Su Donglin

Journal Article