William Hughes

ORCID: 0000-0001-9957-137X
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About
Contact & Profiles
Research Areas
  • Tropical and Extratropical Cyclones Research
  • Power System Reliability and Maintenance
  • Wind and Air Flow Studies
  • Infrastructure Resilience and Vulnerability Analysis
  • Lightning and Electromagnetic Phenomena
  • Coastal and Marine Dynamics
  • Fluid Dynamics and Vibration Analysis
  • Flood Risk Assessment and Management
  • Probabilistic and Robust Engineering Design
  • Tree Root and Stability Studies
  • Landslides and related hazards
  • Botany, Ecology, and Taxonomy Studies
  • Forest ecology and management
  • Structural Response to Dynamic Loads
  • Peatlands and Wetlands Ecology
  • Geotechnical Engineering and Underground Structures
  • Fire effects on ecosystems
  • Power Transformer Diagnostics and Insulation
  • Power System Optimization and Stability
  • Vibration and Dynamic Analysis
  • Botany and Plant Ecology Studies
  • Concrete Corrosion and Durability
  • Icing and De-icing Technologies
  • Thermal Analysis in Power Transmission
  • Hydrology and Sediment Transport Processes

University of Connecticut
2020-2024

ORCID
2022-2024

Tree failures under extreme gusts could exacerbate storm damages to critical infrastructures, including the power delivery system, transportation network, or residential buildings. Nevertheless, effects of tree have largely been excluded in existing community resilience assessment frameworks. To this end, presently, a model integrating failure consequences with community-level evaluation is proposed for improved damage and recovery projections, considering interconnected transportation,...

10.1061/ajrua6.rueng-956 article EN ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering 2022-11-11

10.1016/j.ijdrr.2023.103951 article EN International Journal of Disaster Risk Reduction 2023-08-18

With recent hurricanes causing devastating economic losses, structural damages, and societal impacts on coastal communities, residential building hurricane mitigation measures have gained increasing attention. However, retrofits are often costly therefore beget inherent tradeoffs. In particular, the balancing of postdisaster losses against upfront costs remains a constant challenge for community resilience planning. Existing optimization frameworks scale primarily focused seismic hazards...

10.1061/(asce)nh.1527-6996.0000590 article EN Natural Hazards Review 2022-09-06

With growing shoreline populations and projections of damage losses from coastal natural hazards, such as hurricanes nor'easters, community resilience has attracted increasing attention. To ensure communities return to their normal operating conditions with original functionality, many aspects, social impacts, economic costs, the physical integrity safety building infrastructures, require consideration better predict future vulnerability, leading improved decision-making mitigate threats. In...

10.1061/(asce)nh.1527-6996.0000564 article EN Natural Hazards Review 2022-04-27

Power distribution systems, composed of wood poles and wires, are susceptible to damage caused by strong winds during hurricanes or winter storms. outages induced failed result in millions revenue restoration costs impact customers. Failure aged is a major reason for power Replacing aging an easy effective approach but with high cost enhance radial poles. In this paper, the optimal enhancement strategy system was obtained through Bayesian decision network (BDN), which ideal tool deal...

10.1061/ajrua6.0001253 article EN ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering 2022-07-08

The lattice steel transmission tower-line system serves as a critical component of the electrical power grid. To meet community economic development and demands, tall high-voltage towers connected by long spans have been built in recent years. Due to complex structural performance systems leading knowledge gaps responses failure mechanisms, tower collapses line breaks remain threats under extreme weather loading even when following established design codes specifications. Under various...

10.1061/9780784484463.017 article EN 2022-09-20

Connected structural systems, such as overhead power distribution could fail to function normally under extreme events or environments when the typically anticipated loadings are exceeded. Consequently, in designs, tradeoffs between costs and accepted risks loading scenarios need consideration. To this end, optimization methods be applied minimize subject constraints on design feasibility. While classical techniques deterministic, risk-based approaches considering probabilities of failure...

10.1061/9780784484470.052 article EN Earth and Space 2021 2023-01-05

The accumulation of waterborne large woody debris is a critical issue facing bridges spanning active waterways. In addition to collision forces, drift buildup constricts flow, producing increased hydraulic pressures and exacerbating scour, the cause nearly one-third bridge failures. Accurate methods predicting generation, transport, entrapment, dimensions are consequently necessary improve public safety, designs, informed decision-making. However, characteristics site-specific, varying with...

10.1080/15732479.2023.2177875 article EN Structure and Infrastructure Engineering 2023-03-06

Low-rise wood buildings occupy over 95% of all residential structures in the US. However, low-rise usually perform poorly during extreme wind events, such as hurricanes and tornadoes. To ensure resilience to various loads, codes, specifications, design manuals are adopted. loading these codes is typically represented by simplified pressure coefficients. Both directional envelope methods provided current standard consider explicitly directions normal parallel ridge buildings, with other...

10.1061/(asce)st.1943-541x.0003509 article EN Journal of Structural Engineering 2022-10-19

Under strong winds, structural failures of the power system can lead to cascading outages. For damage prognosis, accurate and computationally efficient models transmission response are necessary. Traditional methods, including pushover analysis, Monte Carlo simulations, or finite element be inefficient for such predictive purposes. Meanwhile, deep learning algorithms, as long short-term memory (LSTM) networks, have become popular efficiently forecasting time series data. However, black-box...

10.1109/naps56150.2022.10012226 article EN 2021 North American Power Symposium (NAPS) 2022-10-09
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