scholarly journals A new approach for time effect analysis in the settlement of single pile in nonlinear viscoelastic soil deposits

2015 ◽  
Vol 16 (8) ◽  
pp. 630-643 ◽  
Author(s):  
Zhen-ya Li ◽  
Kui-hua Wang ◽  
Shu-hui Lv ◽  
Wen-bing Wu
Keyword(s):  
Time Effect ◽  
Single Pile ◽  
Effect Analysis ◽  
New Approach ◽  
Nonlinear Viscoelastic ◽  
Soil Deposits

A new approach for time effect analysis of settlement for single pile based on virtual soil-pile model

2012 ◽  
Vol 19 (9) ◽  
pp. 2656-2662 ◽  
Author(s):  
Wen-bing Wu ◽  
Kui-hua Wang ◽  
Zhi-qing Zhang ◽  
Jian Leo Chin
Keyword(s):  
Time Effect ◽  
Single Pile ◽  
Effect Analysis ◽  
New Approach ◽  
Pile Model

scholarly journals Parameters Assessment of the FMEA Method by Means of Fuzzy Logic

2018 ◽  
Vol 2 (Special edition 2) ◽  
pp. 123-132
Author(s):  
Jasminka Bonato ◽  
Martina Badurina ◽  
Julijan Dobrinić
Keyword(s):  
Fuzzy Logic ◽  
Failure Analysis ◽  
Failure Mode ◽  
Mathematical Function ◽  
Analysis Method ◽  
Effect Analysis ◽  
New Approach ◽  
System Failures ◽  
Numerical Indicator ◽  
Fmea Method

The paper aims at presenting the FMEA method based on the fuzzy technique, representing a new approach to the failure analysis and its effects on the observed system. The FMEA (Failure Mode and Effect Analysis) method has assigned the risks a coefficient i.e. a numerical indicator that very clearly defines the degree of risk. The risk is calculated as a mathematical function of RPN which depends on the effects S, probability O that some case will lead to a failure and to a probability that a failure D can not be detected before its effects are realized. RPN = S O D. The FMEA method, based on the fuzzy logic, makes a more reliable evaluation of the observed system failures possible.

A new approach for heterogeneous linguistic failure mode and effect analysis with incomplete weight information

2020 ◽  
Vol 148 ◽  
pp. 106659 ◽  
Author(s):  
Yanbing Ju ◽  
Yuanyuan Liang ◽  
Martínez Luis ◽  
Aihua Wang ◽  
Chen-Fu Chien ◽  
...  
Keyword(s):  
Failure Mode ◽  
Effect Analysis ◽  
New Approach ◽  
Incomplete Weight ◽  
Incomplete Weight Information

Dead‐time effect analysis of a three‐phase dual‐active bridge DC/DC converter

2018 ◽  
Vol 11 (6) ◽  
pp. 984-994 ◽  
Author(s):  
Deqiang Wang ◽  
Fei Peng ◽  
Jin Ye ◽  
Yinye Yang ◽  
Ali Emadi
Keyword(s):  
Dead Time ◽  
Time Effect ◽  
Effect Analysis ◽  
Dual Active Bridge ◽  
Three Phase

Time Effect Research of Prestressed Pipe Pile Based on High Strain Dynamic Test

2012 ◽  
Vol 256-259 ◽  
pp. 531-534
Author(s):  
Jia Tao Wang ◽  
Hong Li Zhao
Keyword(s):  
Bearing Capacity ◽  
High Strain ◽  
Dynamic Test ◽  
Ultimate Bearing Capacity ◽  
Time Effect ◽  
Load Test ◽  
Single Pile ◽  
Dead Load ◽  
Pipe Pile ◽  
Effect Mechanism

More detailed information about the bearing capacity and integrity of the pile can be obtained by high strain dynamic test than by dead-load test [1]. Engineering examples show that the bearing capacity of the prestressed pipe pile gradually increase with the growth of the resting time, and the ultimate bearing capacity of the pile can reach up to 2 times more than the initial bearing capacity. Through the study of the time effect mechanism, it is found that the increment of ultimate bearing capacity of the single pile is mainly caused by side soil resistance. The end resistance has little influence on the time effect of bearing capacity of pile.

A new approach for Total Ionizing Dose effect analysis on Flash-based FPGA

2017 ◽  
Vol 76-77 ◽  
pp. 58-63 ◽  
Author(s):  
Qiutao Zhang ◽  
Sarah Azimi ◽  
Germano La Vaccara ◽  
Luca Sterpone ◽  
Boyang Du
Keyword(s):  
Dose Effect ◽  
Total Ionizing Dose ◽  
Effect Analysis ◽  
New Approach

E-Commerce Recommending Model Based on Trust Community

2014 ◽  
Vol 543-547 ◽  
pp. 4251-4257
Author(s):  
Xu Dong Zhao ◽  
Shao Zhong Zhang ◽  
Hai Dong Zhong ◽  
Shi Feng Weng
Keyword(s):  
Information Overload ◽  
Time Effect ◽  
New Approach ◽  
Trust Value ◽  
Current Information ◽  
Model Based ◽  
User Clustering ◽  
Evaluation Information ◽  
Trusted Neighbors

To responses to the current information "overload" problem widespread in e-commerce systems, a new approach, using the method of user clustering, node trust value analyzing and product evaluating is put forward to build an e-commerce trust community for e-commerce recommendation. According to some of the most trusted neighbors` evaluation information for goods, the recommendation model predicts the score of goods that the users have purchased, to recommend items which have a higher value score, to a customer. In the proposed recommending algorithm, the time effect of recommendation is taken into consideration to provide effective recommending services for users.

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