Mechanical and Durability Analysis of Recycled Materials

The research paper ETABS is an integrated programming software providing mass distribution and rapid analysis of structures building where we can assign loadings per codal provision. Different methods are also available to elongate our research and analysis of the system. This software developed by CSI is also utilized in the designing of Burj khalifa. ETABS is coordinated programming giving mass dispersion and immediate investigation of building designs where one can allocate loadings according to any codal arrangement. Various strategies are additionally accessible to extend our examination and examination of construction. This paper depicts to determines the role of dampers in tall structures. To assess the stability of the system under seismic load considering dampers. To compare two distinct types of dampers to evaluate the seismic effect of different earthquakes. To provide cost analysis of form per SOR to assess the seismic impact on distant earthquakes.

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“…Step 1: Numerous research papers were reviewed that used different damping systems for passive control as structural stability [19][20].…”

Section: Methodsmentioning

confidence: 99%

Simulation and Soft Computation on Materials Prognostication Seismic Assessment

et al. 2022

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“…Under such conditions, it is possible to use a wavenumber transform in the axial direction in combination with a two-dimensional finite or boundary element model [9][10][11][12]. The full three-dimensional solution can be recovered by an inverse Fourier transform over wavenumber [13][14][15][16]. This so-called 2.5D approach has been used widely to study railway vibration, it is more efficient than a fully dimensional approach.…”

Section: Modelmentioning

confidence: 99%

Dynamic Analysis for High-Speed Locomotive in Distinct Depths

et al. 2022

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The study uses coupled finite or boundary element models expressed in terms of the axial wavenumber. It is found to be important to include the track in the model as this determines how the load is distributed at the soil’s surface, which significantly affects the insertion loss of the barrier. Calculations are presented for a range of typical layered grounds in which the depth of the upper soil layer is varied. Variations in the width and depth of the trench or barrier are also considered. The results show that in all ground conditions considered, the notional rectangular open trench performs best.

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“…For example, if one can have 20 binary details, then the number of leaf nodes alone would be 2 20 . The chi-square value [48,49] is used as a means of testing for statistical significance. The attribute chosen for branching is usually selected to maximize the information gained.…”

Section: The Decision Tree Approachmentioning

confidence: 99%

Naïve Bayesto Machine Learning Approach for Structural Dynamic Complications

Ramana

2022

ASPS Conf. Proc.

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Learning is one of the most powerful concepts in artificial intelligence research. It allows a system to learn from its environment and automatically modify its behavior to suit its needs. On par with human champions, the world’s best computer backgammon player is a computer program that learns by playing against itself. The learning algorithm and available data set limit computer learning. Several techniques are available to perform machine learning. Decision trees, the naïve Bayes approach, and the more general Bayes net approach are a few choices. The naïve Bayes approach is an instance of the more general Bayes nets. This paper examines and analyzes the naïve Bayes and decision tree approaches to learning. Various techniques to avoid over-fitting, such as ensemble construction and cross-validation, are also implemented and analyzed. A novel hybrid between the naïve Bayes approach and the decision tree method is presented. The hybrid system produces a spectrum of options that could be used for learning by merely changing parameter values. At one end lies the naïve Bayes approach, while at the other lies the decision tree technique. The proposed hybrid scheme solves the problem of poor naïve Bayes performance in a domain with dependent attributes and the memory consumption problem of the decision tree. One can analyze this idea and show encouraging experimental data that backs the need for such a solution.

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Mechanical and Durability Analysis of Recycled Materials

Cited by 19 publications

References 7 publications

Simulation and Soft Computation on Materials Prognostication Seismic Assessment

Simulation and Soft Computation on Materials Prognostication Seismic Assessment

Dynamic Analysis for High-Speed Locomotive in Distinct Depths

Naïve Bayesto Machine Learning Approach for Structural Dynamic Complications

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