159 research outputs found
Comparative mechanical performance evaluation of recycled brick aggregate concrete and natural aggregate concrete
No full textThe global increase in construction and demolition (C&D) waste due to natural disasters and urban redevelopment presents a significant environmental challenge. This study evaluates the mechanical performance of reinforced concrete (RC) beams incorporating recycled brick aggregates (RBA) as a sustainable alternative to natural aggregates (NA). Four concrete mixes were tested: 100 % NA, 100 % RBA, and two hybrid combinations of fine and coarse aggregates. RC beams were subjected to four-point bending tests, and companion cylindrical and prismatic specimens were tested for compressive strength and modulus of rupture (MOR). Results indicate that RC beams made with RBA can achieve shear capacities comparable to those made with NA. While beams incorporating coarse brick aggregates showed a more pronounced reduction in shear strength, with values dropping to 53.0 kN, the highest shear strength (71 kN) was observed in mixes using brick fine aggregates and natural coarse aggregates, nearly matching the 70.8 kN of the 100 % NA mix. However, 100 % RBA mixes exhibited a 24 % reduction in compressive strength and a 16 % reduction in MOR compared to NA mixes. Despite these reductions, the structural behavior and failure modes remained consistent across all compositions. From a sustainability perspective, the use of RBA offers a dual benefit: reducing the demand for virgin aggregates and diverting substantial volumes of brick waste from landfills. In regions where C&D waste constitutes a significant portion of total solid waste, adopting RBA concrete could conserve millions of tons of natural resources annually. This study demonstrates the feasibility of using 100 % recycled brick aggregates in structural concrete, supporting a circular economy approach in the construction sector
Biomass for renewable energy production in Pakistan: current state and prospects [Latest Articles]
No full textSynergizing AI and HRM: Leveraging Business Analytics for a Future-Ready Workforce
No full textThis chapter explores the integration of Artificial Intelligence (AI) and Human Resource Management (HRM) practices within the Asian business landscape. It offers a comprehensive examination of the evolution of AI in HRM, emphasizing the benefits and potential challenges associated with implementing AI-driven HRM strategies. The discussion highlights the importance of synergizing AI and HRM through business analytics, offering insights into how AI can enhance recruitment, retention, and employee engagement. The author delve into potential ethical, cultural, and legal issues associated with AI-driven HRM, highlighting the necessity for thoughtful and strategic implementation. Finally, the chapter proposes strategies for successfully incorporating AI in HRM, emphasizing the development of AI competencies, fostering a data-driven culture, and ensuring ethical AI deployment. The discussion provides a foundation for future research, policy development, and practical applications in AI-driven HRM, promoting a future-ready workforce in Asia
Landslide Distribution Analysis and Susceptibility Mapping: A Case Study from Haveli District, Pakistan
No full textNovel CO2 Separation Membranes
No full textUsing membranes for CO2 capture has gained recent prominence in the global scientific community due to its lower capital cost and a quicker separation performance than the conventional separation methods. The membrane process features desirable properties, like compactness, energy efficiency, and environmental friendliness. Various polymeric and inorganic materials have been tested both as unique ingredients and blends to form CO2 separation membranes with a focus on increasing the performance but have had varying rates of success. For commercial viability, the membrane sector requires new techniques and testing materials to lower the cost of CO2 capture. Recently, thermally rearranged polymers, intrinsic microporous polymers, ionic liquid inclusion as fillers, and binary fillers have all emerged as novel trends, focusing on enhancing the working efficiency and sustainability of the membranes. This chapter explores the most recent advances in membrane technology and its future prospects as a sustainable solu ion towards carbon dioxide capture. This Page is compulsory Book Title – Sustainable Carbon Capture: Technologies and Applications Chapter Author(s) – Asif Jamil, Department of Chemical Polymer and Composite Material Engineering, University of Engineering and Technology (New Campus), Lahore, Pakistan, [email protected] Muhammad Latif, Institute of Energy and Environmental Engineering, University of the Punjab, 54590, Lahore, Pakistan, [email protected] Alamin Idris Abdulgadir, Department of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden, [email protected] Danial Qadir, Centre for Sustainable Engineering, Teesside University, Middlesbrough, United Kingdom, [email protected] Hafiz Abdul Mannan, Institute of Polymer and Textile Engineering, University of the Punjab, 54590, Lahore, Pakistan, [email protected]</p
Design, Analysis and Fabrication of RC Operated Flapping Wing Micro Aerial Vehicle Mimicking Natural Flyers
No full textCross-Genre Author Profile Prediction Using Stylometry-Based Approach Notebook for PAN at CLEF 2016
No full textAbstract.Author profiling task aims to identify different traits of an author by analyzing his/her written text. This study presents a Stylometry-based approach for detection of author traits (gender and age) for cross-genre author profiles. In our proposed approach, we used different types of stylistic features including 7 lexical features, 16 syntactic features, 26 character-based features and 6 vocabulary richness (total 56 stylistic features). On the training corpus, the proposed approach obtained promising results with an accuracy of 0.787 for gender, 0.983 for age and 0.780 for both (jointly detecting age and gender). On the test corpus, proposed system gave an accuracy of 0.576 for gender, 0.371 for age and 0.256 for both
Assessment of optical transmittance of oil impregnated and non-wetted surfaces in outdoor environment towards solar energy harvesting
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