Juniper Publishers| Civil Engineering Journal


Predicting the Civil Engineering Characteristics through Soft Computing Models




Authored by Zahra Keshavarz
Recently, scientists have used different soft computing models for estimating various civil engineering characteristics, since they are economical, reliable, and time-saving. Among all, Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) have been the most efficient ones, which are used by scientists in multiple occasions. This study is the comprehensive review on capability of ANFIS and ANN models in predicting different civil engineering characteristics.

For more open access journals in Juniper Publishers please click on: https://juniperpublishers.com 
For more open access journals on Journal of Civil Engineering Research please click on https://juniperpublishers.com/cerj/

To read more please click on: https://juniperpublishers.com/cerj/CERJ.MS.ID.555563.php
 

Comments

Post a Comment

Popular posts from this blog

Further Thoughts on the Structural Efficiency of Suspension Bridges- Juniper Publishers

Image
Juniper Publishers- Journal of Civil Engineering Abstract Recent proposals for very long span bridges, such as those proposed for the Straights of Messina and Gibraltar, have reopened the questions as to which forms provide feasible solutions and within those forms what particular geometries will result in the most efficient solution - in terms of both material volume and cost? While these questions can now be approached using sophisticated optimization software it would seem that simple engineering reasoning still has much to offer. The following rehearses some simple analytical approaches to the question of assessing the relative efficiencies of different bridge geometries considered in an earlier paper and uses this approach to widen the discussion and address the issues of what parametric choices within each of these different geometric classes of bridge would provide the most materially efficient solution.It compares the material efficiency of the common
Read more

Critical Success Factors for Implementing Building Information Modeling (BIM) in Construction Industry- Juniper Publishers

Image
 Civil Engineering Research Journal- Juniper Publishers   Abstract Purpose:  Building Information Modeling (BIM) is the best tool to improve construction processes. However, BIM did not implement successfully. So, solving these issue needs a better knowledge about Critical Success Factors (CSFs). Aim:  The aim of this paper is to investigate Critical Success Factors (CSFs) to BIM implementation in construction industry. Design/methodology/approach:  To investigate the research objectives, a quantitative approach was adopted, and a structured questionnaire was designed. A total of sixty-eight copies of questionnaire were distributed and sixty-five of them were satisfactory completed, making the total response rate = 95.58%. Snow-ball sampling method helped to obtain a high rate of response and thus increase accuracy. Findings:  The most important Critical Success Factors (CSFs) to implementing BIM were 4D construction sequencing and simulation, clash detection, support from top manager,
Read more

Geoid Modelling for Surveying Works Using Satellite Geo-Spatial Data- Juniper Publishers

Image
 Civil Engineering Research Journal- Juniper Publishers   Introduction Nowadays fully three-dimensional positions - latitude, longitude and height are commonly provided by Global Positioning Systems (GPS) with WGS84 ellipsoid as a reference surface. The knowledge of terrain heights is very essential for several surveying and civil engineering works. The type of heights needed for such applications is a height above mean sea level (MSL), usually called orthometric height. A precise geoid model is required to transform GPS-based geodetic heights to orthometric height to allow such data to be directly used in surveying and civil engineering applications [1]. The process of geoid modelling can only be performed if dense networks of precise levelling or gravity and astronomical deflections of vertical are made available. Go to Objective The objective of this article is to formulate a local geoid model that would allow utilization of GNSS data in the fields of surveying and civil engineering
Read more