STUDY ON THE ANALYSIS AND EVALUATION METHOD OF PRODUCTION CHARACTERISTICS FOR THE WOODEN HOUSES : Part1 Analysis and estimation method of working time for assembling back and finishing members of the Japanese traditional wooden houses

1985 ◽  
Vol 351 (0) ◽  
pp. 1-11
Author(s):  
MASAO NAKAJIMA ◽  
KOUHIRO KAMIYAMA
Keyword(s):  
Evaluation Method ◽  
Estimation Method ◽  
Working Time ◽  
Analysis And Evaluation ◽  
Method Of Production ◽  
Production Characteristics

scholarly journals Analysis and Evaluation Methods of Seismic Subsidence Characteristics of Loess and Field Seismic Subsidence

2021 ◽  
Vol 24 (4) ◽  
pp. 485-490
Author(s):  
Xiaotong Yan ◽  
Shun Wang ◽  
Ningwei Wang
Keyword(s):  
Evaluation Method ◽  
Soil Depth ◽  
Dynamic Properties ◽  
Soil Layer ◽  
Estimation Method ◽  
Dry Density ◽  
Cycle Times ◽  
Analysis And Evaluation ◽  
Stress Ratios ◽  
Triaxial Experiment

The objective of this research is to analyze the dynamic degeneration of loess and the evaluation method of field seismic subsidence. In this study, Q3 loess is taken as the research object, and the dynamic properties of loess with 10%, 20%, 30% and 35% moisture content are tested by triaxial experiment. In addition, seismic subsidence characteristics of loess with dry densities of 1.4g/cm3, 1.6g/cm3, and 1.8g/cm3 and consolidation stress ratios of 1.0, 1.2, 1.4, and 1.6 are analyzed. Then the simplified seismic subsidence estimation method is used to calculate the relationship between seismic subsidence coefficients at different soil depth in one dimensional field, cycle times, and subsidence depth. The results show that the higher the water content of loess is, the greater the change of seismic subsidence appears. The larger the dry density of loess is, the smaller the change degree of seismic subsidence appears. The larger the consolidation stress ratio is, the greater the change of seismic subsidence occurs in loess. When the depth of soil reaches 9.5m, the maximum seismic subsidence coefficient can reach 0.8%. When the depth of soil layer is 10m, the degree of seismic subsidence is the largest. When the depth of soil layer is 12~16m, the settlement depth caused by earthquake subsidence is small. While the depth of soil layer is 8~12m, the settlement degree is large.

Estimation of Failure Probability and its Applications in Reliability Data Analysis

2010 ◽  
Vol 118-120 ◽  
pp. 601-605
Author(s):  
Han Ming
Keyword(s):  
Parameter Estimation ◽  
Data Analysis ◽  
Bayesian Estimation ◽  
Failure Probability ◽  
Evaluation Method ◽  
Estimation Method ◽  
New Method ◽  
Reliability Parameter ◽  
Hierarchical Bayesian Estimation ◽  
Definition Of

Evaluation method of reliability parameter estimation needs to be improved effectively with the advance of science and technology. This paper develops a new method of parameter estimation, which is named E-Bayesian estimation method. In the case one hyper-parameter, the definition of E-Bayesian estimation of the failure probability is provided, moreover, the formulas of E-Bayesian estimation and hierarchical Bayesian estimation, and the property of E-Bayesian estimation of the failure probability are also provided. Finally, calculation on practical problems shows that the provided method is feasible and easy to perform.

Utility analysis and evaluation method study of side channel information

2013 ◽  
Vol 30 (5) ◽  
pp. 500-508
Author(s):  
Yingjian Yan ◽  
Jingchao Yu ◽  
Pengfei Guo ◽  
Jianfei Guo
Keyword(s):  
Evaluation Method ◽  
Side Channel ◽  
Utility Analysis ◽  
Analysis And Evaluation ◽  
Channel Information

A Study on Estimation of S-N Curves for Structural Steels Based on their Static Mechanical Properties

2014 ◽  
Vol 891-892 ◽  
pp. 1639-1644 ◽  
Author(s):  
Kazutaka Mukoyama ◽  
Koushu Hanaki ◽  
Kenji Okada ◽  
Akiyoshi Sakaida ◽  
Atsushi Sugeta ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Evaluation Method ◽  
Materials Science ◽  
Estimation Method ◽  
Structural Steels ◽  
Metallic Materials ◽  
Fatigue Reliability ◽  
Regression Parameters ◽  
Static Mechanical ◽  
Static Mechanical Properties

The aim of this study is to develop a statistical estimation method of S-N curve for iron and structural steels by using their static mechanical properties. In this study, firstly, the S-N data for pure iron and structural steels were extracted from "Database on fatigue strength of Metallic Materials" published by the Society of Materials Science, Japan (JSMS) and S-N curve regression model was applied based on the JSMS standard, "Standard Evaluation Method of Fatigue Reliability for Metallic Materials -Standard Regression Method of S-N Curve-". Secondly, correlations between regression parameters and static mechanical properties were investigated. As a result, the relationship between the regression parameters and static mechanical properties (e.g. fatigue limit E and static tensile strength σB) showed strong correlations, respectively. Using these correlations, it is revealed that S-N curve for iron and structural steels can be predicted easily from the static mechanical properties.

Estimation Method of Cable Tension Based on Iterative Algorithm and Optimization Algorithm

2013 ◽  
Vol 353-356 ◽  
pp. 3202-3206
Author(s):  
Yong Hui Huang ◽  
De Quan Luo ◽  
Rui Rao
Keyword(s):  
Iterative Algorithm ◽  
Optimization Algorithm ◽  
Evaluation Method ◽  
Estimation Method ◽  
Empirical Formulas ◽  
Cable System ◽  
Cable Tension ◽  
Application Range ◽  
Taut String ◽  
Arch Bridges

The vibration method is usually used for field measurement of cable tension of cable system bridges. The cable tension evaluation method is mostly based on the simple taut string theory. However, the simple theory may cause unacceptable errors in many applications especially for the cables with big bending stiffness and two ends fixed boundary conditions. In this paper a cable tension estimation method based on iterative algorithm and optimization algorithm is presented and implemented using finite element method and ANSYS soft ware. Compared with the analytical method and empirical formulas the method presented in this paper is more convenient and the application range is more extensive. The accuracy of the method has been verified by a set of test. In the end, the method is used to estimate the cable tension of a tied-arch bridges suspenders.

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