Asian Journal of Civil Engineering -

Theme:	Early View

Articles in this Issue

Author(s)	Title	Page(s)
Guettala, Salah / Abdesselam, Issam / Khelaifia, Akram / Guettala, Salim / Chebili, Rachid	Advances in macro modeling for seismic performance assessment of infilled reinforced concrete structures
Alfraihat, Ahmad S.	Application of an intelligent hybrid global optimization (IHGO) algorithm for enhanced seismic analysis in masonry-infilled RC frames
Jose, Sherry Rose / Thomas, Job	Assessing the impact of corner rounding and geogrid orientation on the structural response of externally confined masonry columns
Ahmad, Esar / Khatua, Lizina / Sethi, Krushna Chandra / Villagómez-Galindo, Miguel / Upadhyay, Abhishek / Pathak, Kuldeep	Comparative seismic analysis of symmetrical and asymmetrical G + 7 structures using STAAD.Pro: insights into performance and material efficiency
Momin, Musaddiq S. / Patil, R. D.	Comparative study of sections and joints by designing conventional steel frames and pre-engineered steel frames
Gadekar, Pooja / Pawade, Prashant / Sanghai, Sanket	Comprehensive review on performance-based design methodology
Bourenane, Randa / Abderrahmani, Sifeddine / Al-Nadhari, Abdulrahman M.	Development and evaluation of a Novel strain-based rectangular membrane element for static and free vibration analysis
Nguyen, Duy-Liem / Phan, Tan-Duy	Enhanced prediction of compressive strength in high-strength concrete using a hybrid adaptive boosting - particle swarm optimization
Domadzra, Yao / Bhandari, Mohit / Hasan, Murtaza	Enhancing earthquake resilience: a review of friction pendulum seismic isolation techniques
Gautam, Amit / Tung, Smita	Enhancing sustainability in concrete construction: improving thermal resilience and structural strength with ground granulated blast furnace slag and ceramic powder
Balpande, Rupali S. / Gaidhani, Yashika A. / Kalbande, Monica N. / Panse, Tejaswini G. / Kakade, Niteen T. / Dandekar, Pranali R. / Shelke, Nilesh	An integrated hybrid machine learning and statistical analysis towards strength prediction of sugarcane bagasse ash-based sustainable concrete
Keote, Rashmi / Keote, Minal / Balpande, Rupali S. / Masram, Bharati / Dubey, Pragati / Pinjarkar, Latika / Muley, Manjushree	An integrated machine learning and genetic algorithm approach for properties prediction of fly ash-based steel fiber-reinforced concrete
Yadav, Akash Deep / Verma, Sujit Kumar / Sharma, Vikas Kumar	Integration of earth-air heat exchangers in sustainable construction: a hybrid NSGA-III/Dual simplex approach for multi-objective optimization
Abedini, Mohammad Hassan / Sarkardehi, Elham / Bagheri Sabzevar, Hadi	Investigating effective parameters for enhancing energy efficiency with an attached solar greenhouse in residential buildings: a case study in Tabriz, Iran
Kurlapkar, Rohit Rajendra / Jadhav, Varun / Hasabe, Ajinkya	Lateral-torsional buckling behavior of castellated steel beams with sinusoidal web openings: a parametric study
Mishra, Rohit Kumar / Mishra, Arun Kumar	Machine learning based prediction model for the compressive strength of fly ash reinforced concrete: an exploration of varying cement replacements and water-cement ratios
Abuassi, Mu’taz / Bisharah, Majdi	Machine learning-based assessment of seismic performance in fiber-reinforced polymer (FRP) retrofitted bridges
Bharadwaj, Manish / Patwardhan, Manoj / Sharma, Kamal	Multi-objective optimization of responsible sourcing, consumption, and production in construction supply chains: an NSGA-III approach toward achieving SDG 12
Raut, Jayant M. / Pimpalshende, Anjusha / Chandak, Mayuri A. / Patil, Tejas R. / Pinjarkar, Latika / Nair, Sruthi	A novel multi-method framework for 3D printed fiber-reinforced polymer concrete utilizing advance additive manufacturing techniques
Sethy, Barada Prasad / Gupta, Priyanka / Chandra, Abhishek / Sethi, Krushna Chandra / Behera, Amir Prasad / Sharma, Kamal	Optimizing construction time, cost, and quality: a hybrid AHP-NSGA-III model for enhanced multi-objective decision making
Eirgash, Mohammad Azim	Optimizing time–cost in construction projects using modified quasi-opposition learning-based multi-objective Jaya optimizer and multi-criteria decision-making methods
Singh, Sabhilesh / Anand, Vivek	Performance evaluation of self-compacting concrete with steel slag and hybrid fibers: enhancing fresh, mechanical, durability, and microstructural characteristics
Harba, Ibrahim S. I. / Abdulridha, Abdulkhalik J. / Al-Shaar, Ahmed A. M.	Performance of a multi-story reinforced concrete flat plate slab building with and without steel bracing under Seismic loading
Mandal, Abinash	Predicting compressive strength of concrete using advanced machine learning techniques: a combined dataset approach
Sathiparan, Navaratnarajah / Subramaniam, Daniel Niruban	Predictive modeling of compressive strength in glass powder blended pervious concrete
Naik, Bhukya Govardhan / Ganasen, Nakkeeran / Roy, Dipankar / kiran, Golla Uday	Recycling glass waste in mortar: a sustainable approach to enhancing strength and density
Momin, Musaddiq S. / Patil, R. D.	A review on joint and section optimization for steel warehouse
Vyas, Rohit / Rc, Bush / Ansari, Abdullah / Gondaliya, Kaushik / Shirkol, Anoop I.	Seismic performance assessment of RC buildings under Turkey ground motions designed by Force Based Design and improved performance based plastic design method
Kiran, K. K. / Naveenkumar, D. T. / Kumar, Anvita M.	Seismic vulnerability mitigation of base isolated structures equipped using a novel tuned mass dampers with H2 optimization
Grover, R. K. / Mishra, Vivek Kumar / Sahu, Bharti / Deshmukh, Mrunalini / Thenmozhi, S.	Soft computing approaches for mechanical property predictions for polypropylene fibre in Fly Ash Mortar based machine learning
Kumar, Anish / Sen, Sameer / Sinha, Sanjeev	Support vector machine-based prediction model for the compressive strength for concrete reinforced with waste plastic and fly ash
Mishra, Vivek Kumar / Sharma, Anurag / Shinde, Sumant Nivarutti / Thenmozhi, S. / Rajeeth, T. J.	Sustainable mortar into paver block using agricultural waste ash and recycled glass: ANN-based prediction of mechanical properties

About this
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IssueID
28487
Published on:
28/06/2019
Last updated on:
01/07/2019

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Asian Journal of Civil Engineering -

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