A5041170074- Concrete Corrosion and Durability
- Probabilistic and Robust Engineering Design
- Seismic Performance and Analysis
- Infrastructure Resilience and Vulnerability Analysis
- Structural Behavior of Reinforced Concrete
- Infrastructure Maintenance and Monitoring
- Structural Health Monitoring Techniques
- Disaster Management and Resilience
- Risk and Safety Analysis
- Structural Response to Dynamic Loads
- Geotechnical Engineering and Analysis
- Structural Engineering and Vibration Analysis
- Geotechnical Engineering and Underground Structures
- Wind and Air Flow Studies
- Risk Perception and Management
- Masonry and Concrete Structural Analysis
- Flood Risk Assessment and Management
- Geophysical Methods and Applications
- Occupational Health and Safety Research
- Rock Mechanics and Modeling
- Ultrasonics and Acoustic Wave Propagation
- Seismic and Structural Analysis of Tall Buildings
- Dam Engineering and Safety
- Hydraulic flow and structures
- Agricultural risk and resilience
University of Illinois Urbana-Champaign
2016-2025
Urbana University
2012-2023
Shanghai Jiao Tong University
2023
Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration
2023
Chongqing Bureau of Geology and Minerals Exploration
2023
Colorado State University
2016-2019
Illinois College
2002-2019
University of Minnesota
2019
University of Illinois System
2014
Columbia University
2014
A methodology to construct probabilistic capacity models of structural components is developed. Bayesian updating used assess the unknown model parameters based on observational data. The approach properly accounts for both aleatory and epistemic uncertainties. univariate bivariate deformation shear capacities circular reinforced concrete columns subjected cyclic loads a large body existing experimental observations. are estimate fragility components. Point interval estimates formulated that...
The resilience of a system is related to its ability withstand stressors, adapt, and rapidly recover from disruptions. Two significant challenges analysis are (1) quantify the associated with given recovery curve; (2) develop rigorous mathematical model process. To resilience, approach proposed that systematically describes curve in terms partial descriptors, called metrics. metrics have simple clear interpretations, their definitions general so they can characterize any curve. This paper...
Water and wastewater network, electric power transportation communication information technology network are among the critical infrastructure in our communities; their disruption during after hazard events greatly affects communities' well-being, economic security, social welfare, public health. In addition, a one may cause to other networks lead reduced functionality. This paper presents unified theoretical methodology for modeling of dependent/interdependent incorporates it six-step...
This paper aims to explore how insights from the philosophical and social science literature can be incorporated into definition of resilient infrastructure so that considerations justice accounted for addressed more adequately. Building on view engineering ultimately promote societal well-being, this argues human well-being depends (1) resilience physical (2) socioeconomic context, both which in turn affect (i) impact recovery translates (ii) ability individuals recover/adapt independently...
One of the most essential components structural design for civil engineers is to build a system that resistant environmental conditions such as harsh chemical environments, and catastrophic disasters like earthquakes hurricanes. Under these circumstances disturbances, conventional building materials steel concrete may demonstrate inadequate performance in form corrosion, deterioration, oxidizing, etc. Shape Memory Alloys (SMAs) are novel metals with distinct features desirable potential...
In 2015, the U.S National Institute of Standards and Technology (NIST) funded Center Excellence for Risk-Based Community Resilience Planning (CoE), a fourteen university-based consortium almost 100 collaborators, including faculty, students, post-doctoral scholars, NIST researchers. This paper highlights scientific theory behind state-of-the-art cloud platform being developed by CoE - Interdisciplinary Networked Modeling Environment (IN-CORE). IN-CORE enables communities, consultants,...
Regional landslide susceptibility mapping (LSM) is essential for risk mitigation. While deep learning algorithms are increasingly used in LSM, their extensive parameters and scarce labels (limited records) pose training challenges. In contrast, classical statistical algorithms, with typically fewer parameters, less likely to overfit, easier train, offer greater interpretability. Additionally, integrating physics-based data-driven approaches can potentially improve LSM. This paper makes...
A Bayesian methodology to construct probabilistic seismic demand models for the components of a structural system is developed. Existing deterministic and obserational data are used. The combined with previously developed capacity reinforced concrete (RC) bridge columns estimate fragilities systems. approach properly accounts all relevant uncertainties, including model error. Application two examples typical modern California practice presented.
Fragility curves are constructed to assess the seismic vulnerability of a hypothetical two-story reinforced concrete frame building designed only for gravity loads. also developed same modestly retrofitted by means column strengthening. A Bayesian methodology is used construct probabilistic demand models predict maximum inter-story drifts, given spectral acceleration at fundamental period building. The data obtained using two-dimensional inelastic time history analyses suite synthetic ground...
Enhancing community resilience in the future will require new interdisciplinary systems-based approaches that depend on many disciplines, including engineering, social and economic, information sciences. The National Institute of Standards Technology awarded Center for Risk-Based Community Resilience Planning to Colorado State University nine other universities 2015, with overarching goal establishing measurement science assessment. Centerville Virtual Testbed is aimed at enabling...
Abstract Reducing hazard‐induced disruptions to infrastructure functionality is cardinal regional resilience. Specifically, effective strategies enhance resilience require: (a) developing mathematical models for recovery; (b) quantifying associated with the developed recovery process; and (c) a computationally manageable approach optimization. This paper proposes rigorous formulation model recovery, quantify resilience, optimize of large‐scale infrastructure. multiscale process proposed that...