Resilient Infrastructure: Mathematical Modeling, Assessment and Smart Sensing

Dear Colleagues,

As big cities become increasingly full, there is a growing demand for infrastructures, i.e., buildings, bridges, rail transit, pipelines and utility tunnels. These facilities function as cross-scale complex network systems, and their serviceability is closely related to human life in terms of transportation, water conveyance and energy supply. However, coupled with unseen stratum and uncertain environments, any small variants in the system could accumulate risks of failure once facing extreme impacts. Such accidents have been reported repeatedly all around the world, resulting in tremendous economic and social losses. Therefore, it is essential to enhance the resilience of the infrastructure using multiple modern mathematical technologies. The National Academy of Sciences of the United States defines resilience as the ability to prevent, bear, recover and adapt to adverse events. Thus, resilient infrastructure must be capable of avoiding catastrophic engineering failures and recovering its serviceability rapidly. We propose this issue in an attempt to build a stage for communicating the most recent progress in achieving resilient infrastructure via advanced mathematical modeling, risk assessment and smart sensing technologies. It is believed that building resilient infrastructures will establish a more resilient and sustainably city.

This Special Issue focuses on the latest developments in the mathematical modeling of engineering problems, assessment and smart sensing of essential infrastructures. New insights into the scientific knowledge or engineering practice in infrastructure resilience assessment and enhancement are also welcomed. We invite you to contribute and submit your latest research work.

Dr. Zhong-Kai Huang
Prof. Dr. Dongming Zhang
Dr. Xing-Tao Lin
Dr. Dianchun DU
Dr. Jin-Zhang Zhang
Guest Editors

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