Rih-Teng Wu

Rih-Teng Wu
National Taiwan University | NTU · Department of Civil Engineering

Doctor of Philosophy

About

19
Publications
4,838
Reads
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642
Citations
Citations since 2017
16 Research Items
634 Citations
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Introduction
I received my B.S. and M.S. degree in the Department of Civil Engineering at National Taiwan University in 2011 and 2014, respectively. And I earned my second M.S. degree in the School of Electrical and Computer Engineering and my Ph.D. degree in the Lyles school of Civil Engineering at Purdue in 2019 and 2020, respectively. My research interests are structural health monitoring, data fusion, artificial intelligence, system identification, inverse problems and metamaterial design.

Publications

Publications (19)
Article
Full-text available
In engineering acoustics, the propagation of elastic flexural waves in plate and shell structures is a common transmission path of vibrations and structure-borne noises. Phononic metamaterials with a frequency band gap can effectively block elastic waves in certain frequency ranges, but often require a tedious trial-and-error design process. In rec...
Article
The control of acoustic and elastic waves via engineered materials has several important real-world applications such as non-destructive evaluation of structural components, synthesis of biomedical devices, high-resolution imaging, and remote sensing. Being formulated as inverse problems, all these applications share as a common denominator the nee...
Article
Manual inspection of steel box girders on long span bridges is time-consuming and labor-intensive. The quality of inspection relies on the subjective judgements of the inspectors. This study proposes an automated approach to detect and segment cracks in high-resolution images. An end-to-end cascaded framework is proposed to first detect the existen...
Article
Full-text available
This paper addresses the problem of efficient and effective data collection and analytics for applications such as civil infrastructure monitoring and emergency management. Such problem requires the development of techniques by which data acquisition devices, such as IoT devices, can: (a) perform local analysis of collected data; and (b) based on t...
Article
Full-text available
Metamaterial systems have opened new, unexpected, and exciting paths for the design of acoustic devices that only few years ago were considered completely out of reach. However, the development of an efficient design methodology still remains challenging due to highly intensive search in the design space required by the conventional optimization-ba...
Preprint
Full-text available
This paper address the problem of efficient and effective data collection and analytics for applications such as civil infrastructure monitoring and emergency management. Such problem requires the development of techniques by which data acquisition devices, such as IoT devices, can: (a) perform local analysis of collected data; and (b) based on the...
Article
Timely assessment of damages induced to buildings due to an earthquake is critical for ensuring life safety, mitigating financial losses, and expediting the rehabilitation process as well as enhancing the structural resilience where resilience is measured by an infrastructure's capacity to restore full functionality post extreme events. Since manua...
Article
Full-text available
Peak ground acceleration (PGA) can be used to estimate the seismic intensity. However, using P-wave features to estimate PGA is a challenging task. One of the reasons for that is that a seismic wave commonly undergoes modification due to various site effects, consequently leading to uncertainty in the predicted PGA. In order to accommodate site eff...
Article
Health monitoring of civil infrastructures is a key application of Internet of things (IoT), while edge computing is an important component of IoT. In this context, swarms of autonomous inspection robots, which can replace current manual inspections, are examples of edge devices. Incorporation of pretrained deep learning algorithms into these robot...
Article
This study presents a deep convolutional neural network (CNN)-based approach to estimate the dynamic response of a linear single-degree-of-freedom (SDOF) system, a nonlinear SDOF system, and a full-scale 3-story multidegree of freedom (MDOF) steel frame. In the MDOF system, roof acceleration is estimated through the input ground motion. Various cas...
Article
During the past decades, significant efforts have been dedicated to develop reliable methods in structural health monitoring. The health assessment for the target structure of interest is achieved through the interpretation of collected data. At the beginning of the 21st century, the rapid advances in sensor technologies and data acquisition platfo...
Conference Paper
Aging nuclear power plants are susceptible to the damage onset. Regular inspection of reactor internal components is needed to ensure safe operations. Current practice involves operators watching inspection videos that are captured under the water, and manually labeling the cracks on metallic surfaces of nuclear reactors. This approach is time-cons...
Article
Regular inspection of the components of nuclear power plants is important to improve their resilience. However, current inspection practices are time consuming, tedious, and subjective: they involve an operator manually locating cracks in metallic surfaces in the plant by watching videos. At the same time, prevalent automatic crack detection algori...
Article
An on-site earthquake early warning system (EEWS) can provide more lead-time at regions that are close to the epicenter of an earthquake because only seismic information of a target site is required. Instead of leveraging the information of several stations, the on-site system extracts some P-wave features from the first few seconds of vertical gro...
Patent
A method of determining an earthquake event for an earthquake detecting system includes retrieving at least one initial wave characteristic related to each earthquake data among a plurality of earthquake data; utilizing a support vector classification (SVC) method to establish an earthquake determination model according to the initial wave characte...
Article
Full-text available
Given their special structural characteristics, bridges are prone to suffer from the effects of many hazards, such as earthquakes, wind, or floods. As most of the recent unexpected damage and destruction of bridges has been caused by hydraulic issues, monitoring the scour depth of bridges has become an important topic. Currently, approaches to scou...

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