Multi-objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach

被引:4
|
作者
Chopra, Avani [1 ]
Singh, Sandeep [1 ]
Kanoungo, Abhishek [2 ]
Singh, Gurpreet [3 ]
Gupta, Naveen Kumar M. [4 ]
Sharma, Shubham [5 ,6 ]
Joshi, Sanjeev Kumar [7 ]
Eldin, Sayed [8 ]
机构
[1] Chandigarh Univ, Dept Civil Engn, Mohali, Punjab, India
[2] Chitkara Univ, Chitkara Sch Engn & Technol, Dept Civil Engn, Baddi, Himachal Prades, India
[3] Chandigarh Univ, Dept Mech Engn, Mohali, Punjab, India
[4] GLA Univ, Inst Engn & Technol, Mech Engn Dept, Mathura, Uttar Pradesh, India
[5] Univ Ctr Res & Dev, Chandigarh Univ, Mech Engn Dept, Mohali, Punjab, India
[6] Qingdao Univ Technol, Sch Mech & Automot Engn, Qingdao, Peoples R China
[7] Uttaranchal Univ, Uttaranchal Inst Technol, Dehra Dun, India
[8] Future Univ Egypt, Fac Engn, Ctr Res, New Cairo, Egypt
来源
PLOS ONE | 2023年 / 18卷 / 02期
关键词
MECHANICAL-PROPERTIES; CRUMB RUBBER; FURAN-RESIN; ASPHALT; PERFORMANCE; POLYETHYLENE;
D O I
10.1371/journal.pone.0281418
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A variety of materials, including waste and rubber products, have been used in road construction to improve the performance of bituminous pavements. The present investigation is focused on modifying bitumen using Nitrile rubber (NBR) with different thermosets namely Bakelite (B), Furan Resin (FR), and Epoxy resin (ER). The emphasis of the problem is to arrive at a mix to achieve maximum Marshall Stability (MS) and minimum flow value of Modified Bituminous Concrete. Taguchi DOE technique has been used to design the experiments using Minitab software. Analysis of Variance (ANOVA) and Multi-objective optimization has been performed using the desirability approach in Design expert software. ANOVA analysis predicts that NBR, B, ER, and FR are the major significant parameters for Marshall Stability (MS) and Flow Value (FV). It has also been analyzed from SEM and EDS images of modified bitumen that sample S1 (5% NBR, 10% Bakelite, 10% FR, 2.5% ER) has a fine surface with small pores as compared to sample S34 (10% NBR, 0% Bakelite 10% FR, 2.5% ER). Multi-optimization results suggested the optimal conditions are achieved at NBR-7.6%, Bakelite-4.8%, FR-2.5%, and ER-2.6% for MS and FV. The maximum MS is 14.84 KN and the minimum FV is 2.84 mm is obtained using optimum conditions. To validate the optimization results, the confirmation runs have been conducted, and obtained results are within 5% error with optimal conditions.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] A Modified PSO Algorithm for Constrained Multi-Objective Optimization
    Li, Lily D.
    Li, Xiaodong
    Yu, Xinghuo
    Guo, William
    NSS: 2009 3RD INTERNATIONAL CONFERENCE ON NETWORK AND SYSTEM SECURITY, 2009, : 462 - +
  • [42] MULTI-OBJECTIVE SYSTEM OPTIMIZATION OF ENGINE CRANKSHAFTS USING AN INTEGRATION APPROACH
    Albers, Albert
    Leon, Noel
    Aguayo, Humberto
    Maier, Thomas
    IMECE 2008: NEW DEVELOPMENTS IN SIMULATION METHODS AND SOFTWARE FOR ENGINEERING APPLICATIONS, VOL 14, 2009, : 101 - 109
  • [43] Design of an intelligent handling system using a multi-objective optimization approach
    Bonini, Tommaso
    Forni, Andrea
    Mazzolini, Mauro
    2018 IEEE 23RD INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2018, : 887 - 894
  • [44] Process Parameter Optimization in EDM: A Multi-objective Approach Using Metaheuristic
    Panda, Surya Narayan
    Pattanaik, Ajit Kumar
    Sahu, Pradip Kumar
    Kumar, Prakash
    Khamari, Bijay Kumar
    ADVANCES IN MATERIALS AND MANUFACTURING ENGINEERING, ICAMME 2019, 2020, : 193 - 201
  • [45] Optimal sustainable road plans using multi-objective optimization approach
    Chung, Jin-Hyuk
    Bae, Yun Kyung
    Kim, Jinhee
    TRANSPORT POLICY, 2016, 49 : 105 - 113
  • [46] A Multi-Objective Bayesian Optimization Approach Using the Weighted Tchebycheff Method
    Biswas, Arpan
    Fuentes, Claudio
    Hoyle, Christopher
    JOURNAL OF MECHANICAL DESIGN, 2022, 144 (01)
  • [47] An exploratory approach for adaptive policymaking by using multi-objective robust optimization
    Hamarat, Caner
    Kwakkel, Jan H.
    Pruyt, Erik
    Loonen, Erwin T.
    SIMULATION MODELLING PRACTICE AND THEORY, 2014, 46 : 25 - 39
  • [48] Simulation of lifting motions using a novel multi-objective optimization approach
    Song, Jiahong
    Qu, Xingda
    Chen, Chun-Hsien
    INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2016, 53 : 37 - 47
  • [49] Transient control for cascaded EDFAs by using a multi-objective optimization approach
    Freitas, M
    Givigi, S
    Klein, J
    Calmon, LC
    de Almeida, AR
    PHOTONICS NORTH: APPLICATIONS OF PHOTONIC TECHNOLOGY, PTS 1 AND 2: CLOSING THE GAP BETWEEN THEORY, DEVELOPMENT, AND APPLICATION, 2004, 5579 : 387 - 395
  • [50] Multi-objective optimization for laminated steel sheet forming process based on desirability function approach and reliability analysis
    Li, Haibo
    Chen, Jun
    Xiao, Yuzhong
    ENGINEERING COMPUTATIONS, 2013, 30 (08) : 1107 - 1127