ANALYTICAL AND NUMERICAL STUDY OF THE AXIAL STIFFNESS OF FIBER-REINFORCED ELASTOMERIC ISOLATORS (FREIS) UNDER COMBINED AXIAL AND SHEAR LOADS

Analytical and Numerical Study of the Axial Stiffness of Fiber-Reinforced Elastomeric Isolators (FREIs) under Combined Axial and Shear Loads

Fiber-reinforced elastomeric isolators (FREIs) are rubber-based seismic devices introduced as a low-cost alternative to steel-reinforced elastomeric isolators (SREIs).They are generally used in unbonded applications, i.e., friction is used to transfer the lateral loads from the upper to the lower structure.Under combined axial and shear loads, the

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CHEMICAL PROPERTIES ANALYSIS OF DISPOSAL SOIL AT COAL MINING CV. INTAN KARYA MANDIRI OF BANJAR DISTRICT, SOUTH KALIMANTAN PROVINCE, INDONESIA

Coal mining activities Shocks using the open pit mining method can affect depreciation of the quality of the surrounding environment, one of which has an impact on reducing the classification criteria for soil chemical properties.The soil organic matter shrinks after being mined due to the lifting of the top layer due to the dismantling of the coal

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Effect of laser dwell time on pore elimination in powder bed fusion of metal matrix composites: experimentally validated modeling

Many studies have been conducted to better understand the relationship between additive manufacturing (AM) process parameters and the resulting structure and properties of manufactured parts.It is quite clear that defects associated with AM parts are detrimental to part performance and are thus a major concern for a broader application of AM proces

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Evaluation of the Power Demand for Economic Load Dispatch Problem Using Adaptive Neuro-Fuzzy Inference System and Artificial Neural Network

The evaluation of power demand is fundamental in the Economic Load Dispatch problem, ensuring that the generated power meets the needs of consumers reliably and efficiently in planning system operations.This paper presented two approaches using an Adaptive Neuro-Fuzzy Inference System (ANFIS) and an Artificial Neural Network (ANN) to evaluate the p

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Analysis Methods for Human Factors in Chemical Plant Accidents

It is important to analyze the cause of an accident so as to prevent further incidents of a similar kind.Variation Tree Analysis (VTA) and Why-Why analysis are accident investigation methods to analyze an accident due to human factors in Mitsubishi Chemical Corporation.VTA is the method to employ time series analysis of the circumstances at the tim

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