Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Chao-Wei Tang is active.

Publication


Featured researches published by Chao-Wei Tang.


Journal of Materials in Civil Engineering | 2010

Dynamic Properties of Lightweight Concrete Beams Made by Sedimentary Lightweight Aggregate

How-Ji Chen; Chung-Ho Huang; Chao-Wei Tang

This research aimed to investigate the engineering and dynamic properties, such as unit weight, stiffness, natural frequency and damping ratio, of lightweight aggregate concrete (LWAC) beams made with sedimentary lightweight aggregate (LWA) and to compare with companion normal weight concrete (NWC) beams. The primary design variables included compressive strengths of 20, 40, and 60 MPa and reinforcement ratios of 0%, 1.03%, and 2.32%, respectively. A total of 62 beams were made and tested. Test results showed that the unit weight of LWAC beams was about 16–23% lower than that of NWC beams for the same strength level. In addition, the reduced modulus of elasticity of LWAC resulted in a stiffness decrease of reinforced lightweight concrete (RLC) beams of 5–15% related to the reinforced NWC (RC) beams. Nevertheless, the natural frequency of RLC was still higher by about 1–10% than that of RC. In contrast, it was also found that the porous LWA with high damping capacity enhanced the damping ratio of RLC beams by 13–30% for concrete strength in the range from 20 to 60 MPa. As a whole, the lower the concrete strength is (e.g., 20 MPa), the more effective will be for the lightness of LWAC beam and the damping ratio, which in turn is more favorable to the seismic resistant efficiency of LWAC beam.


Journal of Materials in Civil Engineering | 2010

Radial Basis Function Neural Network Models for Peak Stress and Strain in Plain Concrete under Triaxial Stress

Chao-Wei Tang

In the analysis or design process of reinforced concrete structures, the peak stress and strain in plain concrete under triaxial stress are critical. However, the nonlinear behavior of concrete under triaxial stresses is very complicated; modeling its behavior is therefore a complicated task. In the present study, several radial basis function neural network (RBFN) models have been developed for predicting peak stress and strain in plain concrete under triaxial stress. For the purpose of constructing the RBFN models, 56 records including normal- and high-strength concretes under triaxial loads were retrieved from literature for analysis. The K-means clustering algorithm and the pseudoinverse technique were employed to train the network for extracting knowledge from training examples. Besides, the performance of the developed RBFN models was estimated by the method of three-way data splits and K-fold cross-validation. On the other hand, a comparative study between the RBFN models and existing regression models was made. The results demonstrate the versatility of RBFN in constructing relationships among multiple variables of nonlinear behavior of concrete under triaxial stresses. Moreover, the results also show that the RBFN models provided better accuracy than the existing parametric models, both in terms of root-mean-square error and correlation coefficient.


Materials | 2016

Paper Sludge Reuse in Lightweight Aggregates Manufacturing

How-Ji Chen; Ying-Chih Hsueh; Ching-Fang Peng; Chao-Wei Tang

The lightweight aggregates used by the civil engineering market are sintered at a high temperature, about 1200 °C. In times of high energy prices and regulation of carbon dioxide emissions, lightweight aggregate products of the high-temperature process in sales marketing are not readily accepted. This study developed a sintered-type paper sludge lightweight aggregate. In order to reduce energy consumption, substitution of some reservoir sediment clay in paper sludge substitutes is to be expected. The study used two types of paper sludge (green clay paper sludge and paper pulp sludge). The sintering temperature was reduced effectively as the green clay paper sludge was substituted for some of the reservoir sediment clay, and the optimum substitute ranges of green clay paper sludge were 10%–50%. The optimum substitute ranges of the paper pulp sludge were 10%–40%. Test results show that the properties of aggregates have a particle density of 0.66–1.69 g/cm3, a water absorption of 5%–30%, and a loss on ignition of 10%–43%. The loss on ignition of aggregate became greater with the increase in paper sludge content. This means that the calorific value provided by the paper sludge will increase as paper sludge content increases. Paper sludge can therefore be considered a good material to provide heat energy for sintering lightweight aggregate.


Structures Congress 2008 | 2008

A New Testing Method for Fatigue of Reinforced Concrete Beam

Te-Hung Liu; Chao-Wei Tang; Hui-Wen Liao; How-Ji Chen

In this research, a new testing method for fatigue is proposed. The traditional hydraulic machine is replaced by vibrating motors with identical magnitude but higher frequency (12 Hz and 30 Hz) of cyclic loading on the basis of force control. The test results (including midspan deflection and beam stiffness) for both fatigue testing systems are compared. By comparison, preloading for the beam at first cycle and adjustment in frequency of loading are suggested to eliminate the dynamic effects for the vibrating motor system. Under such condition, the time it would take for the fatigue testing could be reduced substantially.


Construction and Building Materials | 2010

REUSE OF INCINERATION FLY ASHES AND REACTION ASHES FOR MANUFACTURING LIGHTWEIGHT AGGREGATE

How-Ji Chen; Shun-Yuan Wang; Chao-Wei Tang


Construction and Building Materials | 2012

Producing synthetic lightweight aggregates from reservoir sediments

How-Ji Chen; Ming-Der Yang; Chao-Wei Tang; Shun-Yuan Wang


Cement & Concrete Composites | 2011

Production of synthetic lightweight aggregate using reservoir sediments for concrete and masonry

Chao-Wei Tang; How-Ji Chen; Shun-Yuan Wang; Jack Spaulding


Journal of Structural Engineering-asce | 2003

MODELING CONFINEMENT EFFICIENCY OF REINFORCED CONCRETE COLUMNS WITH RECTILINEAR TRANSVERSE STEEL USING ARTIFICIAL NEURAL NETWORKS

Chao-Wei Tang; How-Ji Chen; Tsong Yen


Journal of Materials in Civil Engineering | 2009

Shear Behavior of Reinforced Concrete Beams Made with Sedimentary Lightweight Aggregate without Shear Reinforcement

Chao-Wei Tang; Tsong Yen; How-Ji Chen


Computers and Concrete | 2014

Producing synthetic lightweight aggregates by treating waste TFT-LCD glass powder and reservoir sediments

Chao-Wei Tang

Collaboration


Dive into the Chao-Wei Tang's collaboration.

Top Co-Authors

Avatar

How-Ji Chen

National Chung Hsing University

View shared research outputs
Top Co-Authors

Avatar

Chung-Ho Huang

Dahan Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Shun-Yuan Wang

National Chung Hsing University

View shared research outputs
Top Co-Authors

Avatar

Tsong Yen

National Chung Hsing University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Kuo Chang Jane

National Chung Hsing University

View shared research outputs
Top Co-Authors

Avatar

Ming-Der Yang

National Chung Hsing University

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge