A5013059764- Structural Health Monitoring Techniques
- Seismic Performance and Analysis
- Fire effects on ecosystems
- Infrastructure Maintenance and Monitoring
- Concrete Corrosion and Durability
- Probabilistic and Robust Engineering Design
- Structural Engineering and Vibration Analysis
- Ultrasonics and Acoustic Wave Propagation
- Machine Fault Diagnosis Techniques
- Meteorological Phenomena and Simulations
- Evacuation and Crowd Dynamics
- Structural Behavior of Reinforced Concrete
- Landslides and related hazards
- Flood Risk Assessment and Management
- Fire dynamics and safety research
- Hydraulic and Pneumatic Systems
- Remote Sensing in Agriculture
- Geophysical Methods and Applications
- Remote Sensing and LiDAR Applications
- Vibration and Dynamic Analysis
- Fault Detection and Control Systems
- Atmospheric and Environmental Gas Dynamics
- Seismic Waves and Analysis
- Non-Destructive Testing Techniques
- Structural Integrity and Reliability Analysis
University of Nevada, Reno
2019-2024
California Geological Survey
2024
United States Geological Survey
2024
ORCID
2021
California Institute of Technology
2017-2019
SC Solutions (United States)
2018-2019
University of California, San Diego
2013-2018
University of California System
2013
This paper proposes a novel framework that combines high-fidelity mechanics-based nonlinear (hysteretic) finite-element (FE) models and stochastic filtering technique, referred to as the unscented Kalman filter, estimate unknown material parameters in frame-type structures. The proposed identification updates FE using spatially limited noisy measurement data, it can be further used for damage purposes. To validate its effectiveness, robustness, accuracy, this is applied cantilever steel...
Summary This paper presents a novel nonlinear finite element (FE) model updating framework, in which advanced structural FE modeling and analysis techniques are used jointly with the extended Kalman filter (EKF) to estimate time‐invariant parameters associated material constitutive models of system interest. The EKF as parameter estimation tool requires computation response sensitivities (total partial derivatives) respect be estimated. Employing direct differentiation method, is...
A landmark experimental program was conducted to advance the understanding of nonstructural system performance during earthquakes. The centerpiece this effort involved shake table testing a full-scale five-story reinforced concrete building furnished with broad variety components and systems (NCSs) including complete operable egress, mechanical electrical systems, facades, architectural layouts. building-NCS subjected suite earthquake motions increasing intensity, while base-isolated then...
This paper presents a new framework for output-only nonlinear system and damage identification of civil structures. is based on finite element (FE) model updating in the time-domain, using only sparsely measured structural response to unmeasured or partially earthquake excitation. The proposed provides computationally feasible approach health monitoring structures when accurate measurement input seismic excitations challenging (e.g., buildings with significant foundation rocking bridges...
Background Accurate simulation of wildfires can benefit pre-ignition mitigation and preparedness, post-ignition emergency response management. Aims We evaluated the performance Weather Research Forecast-Fire (WRF-Fire), a coupled fire-atmosphere wildland fire platform, in simulating large historic (2018 Camp Fire). Methods A baseline model based on setup typically used for WRF-Fire operational applications is utilised to simulate Fire. Simulation results are compared high-temporal-resolution...
Accurate estimation of fuels is essential for wildland fire simulations as well decision-making related to land management. Numerous research efforts have leveraged remote sensing and machine learning classifying cover mapping forest vegetation species. In most cases that focused on surface fuel mapping, the spatial scale interest was smaller than a few hundred square kilometers; thus, many small-scale site-specific models had be created landscape at national scale. The present work aims...
Abstract On 30 December 2021, the Marshall Fire devastated Boulder, Colorado region. The fire initiated in fine fuels open space just southeast of Boulder and spread rapidly due to strong, downslope winds that penetrated into Foothills. Despite increasing occurrence wildland‐urban interface (WUI) disasters, many questions remain about how fires progress through vegetation built environment. To help answer these for Fire, we use a coupled fire‐atmosphere model Doppler on Wheels (DOW)...
Nonstructural components and systems (NCSs) provide little to no load bearing capacity a building; however, they are essential support its operability. As result, 75–85% of the initial building financial investment is associated with these elements. The vulnerability NCSs even during low intensity earthquakes repeatedly exposed, resulting in large economic losses, disruption functionality, concerns for life safety. This paper describes classifies damage observed landmark shake table tests...
Abstract. Following the destructive Lahaina Fire in Hawaii, our team has modeled wind and fire spread processes to understand drivers of this devastating event. The results are good agreement with observations recorded during Extreme winds high variability, a ignition close community, construction characteristics led continued multiple directions. Our suggest that available modeling capabilities can provide vital information guide decision-making emergency response management wildfire events.
The rising severity and frequency of wildfires in recent years the United States have raised numerous concerns regarding improvement wildfire emergency response management decision-making systems, which require operational high temporal spatial resolution monitoring capabilities. Satellites are one tools that can be used for monitoring. However, none currently available satellite systems provide both resolution. For example, GOES-17 geostationary fire products (1–5 min) but low (≥2 km),...
Offshore wind turbines are complex systems operating in harsh environment. The dynamic demands these often differ from values used design, leading to unexpected mechanical and structural failures. This signifies the importance of remote monitoring technologies for damage diagnosis prognosis offshore turbines. study is focused on developing mechanics-based digital twins turbine through a model-updating process using sparse measurement data. Digital can be estimate system unmeasured response...
Rapid post-earthquake damage diagnosis of bridges can guide decision-making for emergency response management and recovery. This be facilitated using digital technologies to remove the barriers manual post-event inspections. Prior mechanics-based Finite Element (FE) models used simulation measured ground motions at nearby stations; however, assessment outcomes would suffer from uncertainties in structural soil material properties, input excitations, etc. For instrumented bridges, these...
Disturbance events can happen at a temporal scale much faster than wildland fire fuel data updates. When used as input for behavior models, outdated datasets contribute to misleading forecasts, which have implications operational firefighting, mitigation, and research. Remote sensing machine learning methods provide solution on-demand estimation. Here, we show proof of concept using C-band synthetic aperture radar multispectral imagery, land cover classes, tree mortality surveys train random...
Abstract There is a need for nowcasting tools to provide timely and accurate updates on the location rate of spread (ROS) large wildfires, especially those impacting communities in wildland urban interface. In this study, we demonstrate how fixed‐site weather radars can be used fill gap. Specifically, develop test radar‐based fire‐perimeter tracking tool that leverages tendency local maxima radar reflectivity collocated with active fire perimeters. Reflectivity are located using search...
This paper presents the identification of modal properties a full-scale five-story reinforced concrete building fully outfitted with nonstructural components and systems (NCSs) tested on NEES-UCSD shake table. The fixed base is subjected to sequence earthquake motions selected progressively damage structure NCSs. Between seismic tests, ambient vibration response recorded. Additionally, low-amplitude white noise (WN) excitation tests are conducted during test protocol. Using data recorded,...
Background Existing fire spread models focus exclusively on wildland or urban simulation. Aims This study aims at an offline coupling of two to enable a continuous simulation wildfire incident transitioning from into wildland–urban interface (WUI) communities, evaluate the effects wind input results and influence building types patterns. Methods The selected are WRF-Fire, behaviour platform, SWUIFT, model for inside WUI. 2021 Marshall Fire serves as case study. A map fire’s timeline location...