Pouyan Press
Computational Engineering and Physical Modeling
2588-6959
3
2
2020
04
01
Seismic Analysis of Eccentric Steel Structure on a Shaking Table
1
11
EN
Amrutrao
E
Patil
Department of Civil Engineering, Annasaheb Dange College of Engineering & Technology Ashta, Dist. Sangli, Maharashtra, India
amrutpatil931@gmail.com
Maheshkumar
M
Bhanuse
0000-0003-1554-1806
Department of Civil Engineering, Annasaheb Dange College of Engineering & Technology Ashta, Dist. Sangli, Maharashtra, India
maheshbhanuse07@gmail.com
10.22115/cepm.2020.223528.1093
The paper presents the experimental investigation of an eccentric steel structure under seismic loading at varying height and varying mass conditions on a shaking table. In order to test dynamic responses of a steel structure the ground and a four-storied eccentric steel structure were prepared and a dynamic analysis test was conducted. The seismic data from accelerometers attached to each story of a steel structure were recorded like acceleration, displacement, velocity, etc. According to the correlation of acceleration, displacement, velocity other seismic properties like story drift, drift ratio, inertia forces were predicted. The prototype model showed irregularities and eccentric effects on various seismic parameters. The eccentric steel model on the shaking table is a useful tool for teaching and well shows the effects of the earthquake on a structure.
Eccentric structure,seismic analysis,Eccentric effects,shaking table
https://www.jcepm.com/article_105870.html
https://www.jcepm.com/article_105870_229151a4dc1a35f24bd30c176e2339a4.pdf
Pouyan Press
Computational Engineering and Physical Modeling
2588-6959
3
2
2020
04
01
Characterisation and Use of Cassava Peel Ash in Concrete Production
12
28
EN
Chimmaobi
Ogbonna
0000-0002-5201-4637
Department of Civil Engineering, Michael Okpara University of Agriculture, Umudike, P. M. B. 7267, Umuahia 440109, Abia State, Nigeria
ogbonnachimmaobi@gmail.com
Elvis
Mbadike
Department of Civil Engineering, Michael Okpara University of Agriculture, Umudike, P. M. B. 7267, Umuahia 440109, Abia State, Nigeria
elvis_mbadike@yahoo.co.uk
George
Uwadiegwu
Alaneme
0000-0003-4863-7628
Department of Civil Engineering, Michael Okpara University of Agriculture, Umudike, P. M. B. 7267, Umuahia 440109, Abia State, Nigeria
tinz2020@gmail.com
10.22115/cepm.2020.223035.1091
In this work, the utilization of cassava-peel-ash (CPA) which is an agricultural solid waste derivative as a supplementary-cementitous-materials in the production of concrete is carried out in this study; this is essential because it enhances the re-use and re-cycling of solid wastes and its derivatives which will help in achieving eco-efficient, eco-friendly and sustainable engineered infrastructure. The CPA is used to replace specified ratio of cement ranging from 0% to 40% at the hydration period of 3, 7, 28, 60 and 90days respectively to obtain a concrete mixture of coarse and fine aggregates, water, cement and CPA. The Characterization is of CPA is evaluated with respect to the physicochemical properties of CPA and mechanical properties of the concrete mix at fresh or hardened state. The results of compressive strength for 5%-replacement range from 12.56N/mm<sup>2</sup> to 33.26N/mm2 for the varying hydration periods as against 13.93N/mm<sup>2</sup> to 35.23N/mm<sup>2</sup> for the control-test (0%-replacement). The result of flexural strength for 5%-replacement range from 3.33N/mm<sup>2</sup> to 15.17N/mm<sup>2</sup> for the varying hydration periods as against 4.67N/mm<sup>2</sup> to 16.80N/mm<sup>2</sup> for the control. The mechanical properties results indicate that lower strength is obtained at early hydration periods but the strength increases with longer hydration period; while the strength decreases with increased ratio of the CPA. The pozzolanic-activity-index (PAI) of CPA is 75.8% which is an indication that it has high pozzolanic properties. From the results, the optimum combination level of 5%-10% replacement of the cement by CPA can be used to produce a better and more desirable concrete.
Cassava Peel Ash,Concrete Flexural Strength,concrete compressive strength,Pozzolan,Supplementary Cementitous Materials
https://www.jcepm.com/article_105867.html
https://www.jcepm.com/article_105867_48bb8050041abf09908a297c4378f5f8.pdf
Pouyan Press
Computational Engineering and Physical Modeling
2588-6959
3
2
2020
04
01
Comparative Study of a Subgrade Coefficient Reaction on an Arched Dam Using the Winkler Foundation Model
29
37
EN
Abolfazl
Asadi
M.Sc. of Civil Engineering, Department of Soil and Foundation Mechanic Engineering, Tafresh University, Tafresh, Iran
asadi086@gmail.com
Hamidreza
Saba
Assistant Professor of Civil Engineering, Department of Soil and Foundation Engineering, Tafresh University, Tafresh, Iran
hr.saba@aut.ac.ir
10.22115/cepm.2020.223676.1094
Foundations are one of the most important parts of different structures. The interaction between a foundation and the soil is an important factor to evaluate the behavior of the structure. The behavior of the subgrade is complicated and disordered against the forces. So, instead of modeling the soil media with its original nature, the subgrade in the subject of interaction of structure-soil will be replaced with a much simpler system which is called subgrade model, and one of the most known and oldest one of them is Winkler model. The body of the dam is modeled with a concrete wall by using the Solid187 element and the subgrade in the first mode as a flexible weightless foundation. In the second model, the COMBIN14 element with the subgrade reaction coefficient equal to 10 × 10<sup>6</sup> for central springs and 12×10<sup>6</sup> for lateral springs is considered. The obtained results are presented in different diagrams.
subgrade reaction coefficient,dam arch,Winkler foundation model
https://www.jcepm.com/article_105869.html
https://www.jcepm.com/article_105869_4b81797fb51ea552dab781198e69098d.pdf
Pouyan Press
Computational Engineering and Physical Modeling
2588-6959
3
2
2020
04
01
Determination of Environmental Impacts of Bituminous Highway’s by Life Cycle Assessment
38
50
EN
Saeed
Morsali
0000-0002-8187-6084
Gazi University Graduate School of Natural and Applied Sciences, Ankara, Turkey, 06460
morsali.saeed@gmail.com
Gamze
Yücel Işildar
Gazi University Graduate School of Natural and Applied Sciences, Ankara, Turkey, 06460
akarakoc@gazi.edu.tr
10.22115/cepm.2020.209139.1074
Nowadays transportation is one of the most Indispensable parts of every society, which has significant effects on economics, society, and the environment. In this study; asphalt surfaced roads environmental loads using Lifecycle Assessment Analysis have been studied. This study aims to; assess environmental impacts of road construction, maintenance and its application with defining loads causes, results of the most important procedure throughout its lifecycle and suggestion resolves for critic processes in order to develop a perspective for decision-makers, managers and anyone who related to asphalt-surfaced roadways. In this paper Life Cycle Assessment (LCA) has been done in three categories (human health, ecosystem quality, and resources) using SimaPro 7.1 software. What makes this paper distinct from previous studies in road life cycle assessment is; a comprehensive analysis has been done in three main categories, which have subcategories that all the subcategories and categories analyzed with characterization, and weighting option, it is necessary to specified the most critique processes in road LCA, so that the next step to reduce the negative effects could be possible, there are no specific studies in road LCA so we did this study more specific in terms of environmental impacts details rather than just analysis 3 main categories. In the results, the resources category determined as the highest environment loads in asphalt surfaced roadways life cycle. Due to high fossil fuel affects which is one of the resources subcategories the resources category is the first impact category. Ecosystem quality and human health are respectively in the second and third places on the environmental impact.
Asphalt Roads LCA,emissions from asphalt roadways,bitumen emission in road construction,Roads environmental effects
https://www.jcepm.com/article_105891.html
https://www.jcepm.com/article_105891_ebae80b600c70d8b8005a240d50ed521.pdf
Pouyan Press
Computational Engineering and Physical Modeling
2588-6959
3
2
2020
04
01
A Field Study of the Impact of Human Characteristics on the Use of Signs
51
62
EN
Sahand
Alizadeh
Department of Civil Engineering, Islamic Azad University, North Tehran Branch, Tehran, Iran
sahand.alzdh@gmail.com
Amir
Ismail
Frohid
Assistant Professor, Department of Civil Engineering, Islamic Azad University, Parand Branch, Iran
prrahsazi@gmail.com
10.22115/cepm.2020.217012.1083
Traffic signs are one of the essentials of roads around the world. While drivers are using them appropriately and take carefully concentrate on them, it’s reduces significant road accidents, which it's would depend on human characters. Therefore, in this research, a statistical population of 768 drivers in various categories had been investigated. All kinds of traffic signs such as informative, disciplinary, & route guidance signs were discussed in their corresponding categories. Questions about understanding, recognition and familiarity with signs were asked from 768 participants. The current problems with traffic signs were identified according to answered questions. This procedure was helpful for understanding and getting more familiar with different groups of traffic signs, so the most understandable type of traffic signs was identified. We evaluated drivers’ ability to recognize traffic signs by means of a special questionnaire, so different types of traffic signs were investigated according to their understandability. In order to perform our analysis, various groups of drivers were classified based on their age, education level, driving experience, gender. The collected answers were analyzed by statistical methods in SPSS software. According to the acquired results, it was proved that there is a direct relationship between education level and the ability to recognize traffic signs. On the other hand, there is an inverse relationship between driving experience and recognition of various traffic signs. The estimated Pearson correlation coefficient for respondents’ right-wrong answers with respect to education level is 0.56. It means that the higher the education level, the higher the percentage of right answers.
Traffic Signs,guidance signs,Transportation,Traffic
https://www.jcepm.com/article_105866.html
https://www.jcepm.com/article_105866_306edeab855e2cd677a3997bcdfd74b7.pdf