Search Results - "Khan, Beenish Jehan"

Assessment of chloride-induced reinforcement corrosion protection of modified sulfur polymer composites by Rasheed, Quaid, Ali Sikandar, Muhammad, Hanif Khan, Muhammad, Akash, Kalsoom, Nasir, Hassan, Jehan Khan, Beenish

“…•Microfillers enhance the mechanical properties of sulfur-based mortars.•Microfillers reduce the sorptivity of sulfur-based mortars.•Microfillers enhance…”
Get full text

Evaluation of pull out behavior of plain and deformed steel bars in tire shred –sand mixture using large scale model by Jehan Khan, Beenish, Ahmad, Irshad, Jameel, Hafiz

“…Interaction with soil strengthening is a critical problem in the construction of reinforced soil structures. It is therefore, important to examine the pullout…”
Get full text

Analysis and Design of Piled Raft Foundation Taking into Account Interaction Factors by Jamil, Irfan, Ahmad, Irshad, Ali Khan, Shahid, Ullah, Wali, Amjad, Maaz, Jehan Khan, Beenish, Nasir, Hassan

“…In a combined piled raft foundation (CPRF) both raft and piles take their share of the total load applied. However, in practice, the contribution of a raft in…”
Get full text

Development of Prediction Models for Shear Strength of Rockfill Material Using Machine Learning Techniques by Ahmad, Mahmood, Kamiński, Paweł, Olczak, Piotr, Alam, Muhammad, Iqbal, Muhammad Junaid, Ahmad, Feezan, Sasui, Sasui, Khan, Beenish Jehan

“…Supervised machine learning and its algorithms are a developing trend in the prediction of rockfill material (RFM) mechanical properties. This study…”
Get full text

Corrigendum: Evaluation of shear strength parameters of sustainable utilization of scrap tires derived geo-materials for civil engineering applications by Amin, Hamza, Khan, Beenish Jehan, Ahmad, Mahmood, Hakamy, Ahmad, Sikandar, Muhammad Ali, Sabri Sabri, Mohanad Muayad

Get full text

Prediction of Liquefaction-Induced Lateral Displacements Using Gaussian Process Regression by Ahmad, Mahmood, Amjad, Maaz, Al-Mansob, Ramez, Kamiński, Paweł, Olczak, Piotr, Khan, Beenish, Alguno, Arnold

“…During severe earthquakes, liquefaction-induced lateral displacement causes significant damage to designed structures. As a result, geotechnical specialists…”
Get full text

Evaluation of shear strength parameters of sustainable utilization of scrap tires derived geo-materials for civil engineering applications by Amin, Hamza, Khan, Beenish Jehan, Ahmad, Mahmood, Hakamy, Ahmad, Sikandar, Muhammad Ali, Sabri Sabri, Mohanad Muayad

“…The devastation caused by the illegal dumping and burning of tires has been staggering. In civil engineering, using tires engineering properties has become a…”
Get full text

Experimental and Numerical Evaluation of Mechanically Stabilized Earth Wall with Deformed Steel Bars Embedded in Tire Shred-Sand Mixture by Khan, Beenish Jehan, Ahmad, Mahmood, Sabri, Mohanad Muayad Sabri, Ahmad, Irshad, Zamin, Bakht, Niekurzak, Mariusz

“…This article presents the experimental and numerical analysis behavior on Mechanically Stabilized Earth Wall (MSE) under applied overburden load performed on…”
Get full text

Comparative Study on the Field- and Lab-Based Soil-Water Characteristic Curves for Expansive Soils by Zamin, Bakht, Nasir, Hassan, Sikandar, Muhammad Ali, Ahmad, Waqas, Khan, Beenish Jehan, Ahmad, Mahmood, Bashir, Muhammad Tariq

“…Expansive soils are problematic and viewed as a potential hazard for buildings and structures due to swell and shrink phenomena. The damaging effect of these…”
Get full text

Shear Strength and Pull-Out Response of Tire Shred-Sand Mixture Reinforced with Deformed Steel Bars by Abdullah, Abdullah, Nasir, Hassan, Ahmad, Irshad, Khan, Beenish Jehan, Gohar, Qazi Khawar

“…The use of scrap tires in various engineering applications has been extensively explored. The present study has the following aim: to evaluate the suitability…”
Get full text

Unconfined compressive strength prediction of stabilized expansive clay soil using machine learning techniques by Ahmad, Mahmood, Al-Mansob, Ramez A., Ramli, Ahmad Bukhari Bin, Ahmad, Feezan, Khan, Beenish Jehan

“…This paper evaluates the potential of machine learning techniques, namely, Gaussian Process Regression (GPR) and Support Vector Machine (SVM), for the…”
Get full text

Long short term memory networks for predicting resilient Modulus of stabilized base material subject to wet-dry cycles by Al‑Zubi, Mohammad A., Ahmad, Mahmood, Abdullah, Shahriar, Khan, Beenish Jehan, Qamar, Wajeeha, Abdullah, Gamil M. S., González-Lezcano, Roberto Alonso, Paul, Sonjoy, EL-Gawaad, N. S. Abd, Ouahbi, Tariq, Kashif, Muhammad

“…The resilient modulus (M R ) of different pavement materials is one of the most important input parameters for the mechanistic-empirical pavement design…”
Get full text