Author
Chi-Hsiang Wang
Other affiliations: University of Illinois at Urbana–Champaign
Bio: Chi-Hsiang Wang is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Climate change & Roof. The author has an hindex of 16, co-authored 41 publications receiving 717 citations. Previous affiliations of Chi-Hsiang Wang include University of Illinois at Urbana–Champaign.
Topics: Climate change, Roof, Wind speed, Truss, Resilience (network)
Papers
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TL;DR: In this article, the adaptive capacity of the system is better treated as an input variable of the other two aspects of resilience, and that response/recovery may be considered only when the performance threshold is not crossed.
Abstract: This paper reviews existing approaches to system resilience, and proposes a scheme to quantify the resilience of water resource systems. In general, three aspects of resilience are considered in water resource systems: (1) that against crossing a performance threshold; (2) that for response and recovery after disturbances; and (3) that of adaptive capacity. Conventionally these aspects are treated separately without considering possible functional relationships or interdependencies. We argue that the adaptive capacity of the system is better treated as an input variable of the other two aspects of resilience, and that response/recovery may be considered only when the performance threshold is not crossed. Because of the dynamic and evolving nature of water resource systems, proper consideration of uncertainty and associated information, whether obtained from well-defined numerical data or vague linguistic articulation, is essential for better understanding and proper management of their resilience. Constan...
98 citations
TL;DR: In this article, a smooth connection-fracture hysteresis model based on the Bouc-Wen model is developed to investigate the effects of connection failure on structural response of steel buildings under earthquakes.
Abstract: Widespread occurrence of brittle beam-to-column connection fracture has been discovered in steel frame buildings after 1994 Northridge and 1995 Hyogoken-Nanbu earthquakes. To investigate the effects of connection failure on structural response of steel buildings under earthquakes, a smooth connection-fracture hysteresis model based on the Bouc-Wen model is developed. It can reproduce the hysteretic characteristics found in cyclic loading tests of the FEMA/SAC (SEAOC, ATC, CUREe) steel project. To account for the effects of flexible floor systems, biaxial interaction, and torsional motion, a 3D inelastic structural analysis model developed by the writers is used. From a numerical study, it was found that for response evaluation of strong-column, weak-beam type steel buildings a conventional shear-building model assuming rigid floor systems is not adequate. The response behavior of steel buildings with connection fractures may only be moderately altered if there is some residual strength after the fracture....
76 citations
TL;DR: In this paper, a decomposition approach for modelling the electricity demand trend and variability for medium and long-term forecasting is proposed. But the decomposition does not require involved structural models or time series analysis, saving the efforts of complex nonlinear parameter estimations, and is relatively easy for implementation.
73 citations
TL;DR: A durability design factor, kD, is derived and proposed for consideration in practical design of timber construction, and examples for computation of kD for untreated timber poles installed at two sites in Australia are given.
64 citations
TL;DR: In this paper, a statistical analysis of the charge events in the Victorian EV Trial in Australia as well as modeling the charging behaviors according to participant categories and vehicle models was performed on 4933 charge events that were recorded by both private and public Electric Vehicle Supply Equipment.
Abstract: The market share of Electric Vehicles (EVs), an attractive alternative to conventional vehicles, is expected to exceed 30% of all vehicles by 2033 in Australia. Although the expected EV uptake may place greater burdens on electricity networks, the potential impacts contributed by different EV user categories and vehicle models to peak loads at different times during the day are not well understood. This paper addresses the issue through statistical analysis of the charge events in the Victorian EV Trial in Australia as well as modeling the charging behaviors according to participant categories and vehicle models. The analysis was performed on 4933 charge events that were recorded by both private and public Electric Vehicle Supply Equipment. In total, these events consumed over 33 MW h of energy over 12,170 h by the 178 trial participants, out of which about 70% were household participants while the others were fleet participants. Based on a range of EV uptake scenarios and modeled charging behaviors from the trial, the power demand in the summer of 2032/33 was estimated for all of Victoria. The results of the simulations show that the broad scale uptake of EVs produces a relatively small increase in overall power demand (estimated to be between 5.72% and 9.79% in 2032/33).
64 citations
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TL;DR: A forum to review, analyze and stimulate the development, testing and implementation of mitigation and adaptation strategies at regional, national and global scales as mentioned in this paper, which contributes to real-time policy analysis and development as national and international policies and agreements are discussed.
Abstract: ▶ Addresses a wide range of timely environment, economic and energy topics ▶ A forum to review, analyze and stimulate the development, testing and implementation of mitigation and adaptation strategies at regional, national and global scales ▶ Contributes to real-time policy analysis and development as national and international policies and agreements are discussed and promulgated ▶ 94% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again
2,587 citations
1,196 citations
TL;DR: This paper proposes a CNN-LSTM neural network that can extract spatial and temporal features to effectively predict the housing energy consumption and achieves almost perfect prediction performance for electric energy consumption that was previously difficult to predict.
677 citations
TL;DR: A review of the past, recent developments and implementations of the Bouc-Wen model which is used extensively in modeling the hysteresis phenomenon in the dynamically excited nonlinear structures can be found in this paper.
Abstract: Structural systems often show nonlinear behavior under severe excitations generated by natural hazards. In that condition, the restoring force becomes highly nonlinear showing significant hysteresis. The hereditary nature of this nonlinear restoring force indicates that the force cannot be described as a function of the instantaneous displacement and velocity. Accordingly, many hysteretic restoring force models were developed to include the time dependent nature using a set of differential equations. This survey contains a review of the past, recent developments and implementations of the Bouc-Wen model which is used extensively in modeling the hysteresis phenomenon in the dynamically excited nonlinear structures.
602 citations
TL;DR: In this paper, the authors proposed a multi-functional smart aggregate for early-age concrete strength monitoring, impact detection and structural health monitoring, which can be applied to the comprehensive monitoring of concrete structures from their earliest stages and throughout their lifetime.
Abstract: This paper summarizes the authors' recent pioneering research work in piezoceramic-based smart aggregates and their innovative applications in concrete civil structures. The basic operating principle of smart aggregates is first introduced. The proposed smart aggregate is formed by embedding a waterproof piezoelectric patch with lead wires into a small concrete block. The proposed smart aggregates are multi-functional and can perform three major tasks: early-age concrete strength monitoring, impact detection and structural health monitoring. The proposed smart aggregates are embedded into the desired location before the casting of the concrete structure. The concrete strength development is monitored by observing the high frequency harmonic wave response of the smart aggregate. Impact on the concrete structure is detected by observing the open-circuit voltage of the piezoceramic patch in the smart aggregate. For structural health monitoring purposes, a smart aggregate-based active sensing system is designed for the concrete structure. Wavelet packet analysis is used as a signal-processing tool to analyze the sensor signal. A damage index based on the wavelet packet analysis is used to determine the structural health status. To better describe the time-history and location information of damage, two types of damage index matrices are proposed: a sensor-history damage index matrix and an actuator–sensor damage index matrix. To demonstrate the multi-functionality of the proposed smart aggregates, different types of concrete structures have been used as test objects, including concrete bridge bent-caps, concrete cylinders and a concrete frame. Experimental results have verified the effectiveness and the multi-functionality of the proposed smart aggregates. The multi-functional smart aggregates have the potential to be applied to the comprehensive monitoring of concrete structures from their earliest stages and throughout their lifetime.
367 citations