Suchergebnisse - "Multiscale and Multidisciplinary Modeling, Experiments and Design"

Improvement of recycled aggregate concrete using glass fiber and silica fume von Benemaran, Reza Sarkhani, Esmaeili-Falak, Mahzad, Kordlar, Morteza Sadighi

“… Recycling concrete construction waste is a hopeful procedure toward environmentally friendly and sustainable construction. Recycled aggregate concretes (RACs) …”
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A review of the FE2 method for composites von Raju, Karthikayen, Tay, Tong-Earn, Tan, Vincent Beng Chye

“… Composite materials and structures are inherently inhomogeneous and anisotropic across multiple scales. Multiscale modelling offers opportunities to understand …”
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Progress in hydrogen fuel cell vehicles and up-and-coming technologies for eco-friendly transportation: an international assessment von Soleimani, Alireza, Hosseini Dolatabadi, Sayed Hamid, Heidari, Mehrdad, Pinnarelli, Anna, Mehdizadeh Khorrami, Behrouz, Luo, Yang, Vizza, Pasquale, Brusco, Giovanni

“… The urgent need for sustainable energy solutions in light of escalating global energy demands and environmental concerns has brought hydrogen to the forefront …”
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Parametric optimization of non-traditional machining processes using multi-criteria decision making techniques: literature review and future directions von Kalita, Kanak, Chakraborty, Santonab, Ghadai, Ranjan Kumar, Chakraborty, Shankar

“… Continuous urge for generation of complex intricate features on harder and tougher materials with close dimensional tolerance and superior surface quality has …”
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Biometric authentication and image encryption for image security in cloud framework von Kakkad, Vishruti, Patel, Meshwa, Shah, Manan

“… Cloud computing is a major blooming technology which has numerous applications in today’s market and is rightly so hyped. Images are a major part of today’s …”
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Application of 3-algorithm ANN programming to predict the strength performance of hydrated-lime activated rice husk ash treated soil von Onyelowe, Kennedy C., Iqbal, Mudassir, Jalal, Fazal E., Onyia, Michael E., Onuoha, Ifeanyichukwu C.

“… Artificial neural network (ANN) method has been applied in the present work to predict the California bearing ratio (CBR), unconfined compressive strength …”
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Prediction of UCS of fine-grained soil based on machine learning part 1: multivariable regression analysis, gaussian process regression, and gene expression programming von Khatti, Jitendra, Grover, Kamaldeep Singh

“… The present research introduces the best architecture approach and model for predicting the unconfined compressive strength (UCS) of cohesive virgin soil by …”
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Prediction of UCS of fine-grained soil based on machine learning part 2: comparison between hybrid relevance vector machine and Gaussian process regression von Khatti, Jitendra, Grover, Kamaldeep Singh

“… The present research employs the models based on the relevance vector machine (RVM) approach to predict the unconfined compressive strength (UCS) of the …”
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A numerical study on the radiative heat transfer aspects of hybrid nanofluid flow past a deformable rotating cone von Kumar, K. Thanesh, Remidi, Srinivas, Nagapavani, M., Prasad, Koushik V., Karthik, K., Kumar, Raman, Naveen Kumar, R.

“… The flow of hybrid nanoliquid produced by the stretching or shrinking rotating cone under the wall-deforming boundary conditions is studied in the present …”
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Numerical solutions for thermal and solutal transport of Jeffrey fluid flow subject to rotation via Keller–Box method von Sarfraz, Mahnoor, Muhammad, Khursheed

“… This research analyzes the heat and mass transfer of electrically conducting Jeffrey fluid flow over a spiraling disk. Employing the Jeffrey fluid model, the …”
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Assessment of the uniaxial compressive strength of intact rocks: an extended comparison between machine and advanced machine learning models von Khatti, Jitendra, Grover, Kamaldeep Singh

“… Rock strength is the most deterministic parameter for studying geological disasters in resource development and underground engineering construction. However, …”
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Significance of melting phenomena on Darcy–Forchheimer flow of trihybrid nanofluid over a disk in the presence of thermophoresis particles deposition von Mahariq, Ibrahim, Abbas, Munawar, Fatima, Nahid, Akgül, Ali, Faqihi, Abdullah A.

“… The purpose of the proposed study is to examine the significance of Marangoni convection and inclined MHD on an axisymmetric Darcy–Forchheimer flow of a …”
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Forecasting the productivity of a solar distiller enhanced with an inclined absorber plate using stochastic gradient descent in artificial neural networks von Mohammed, Suha A., Al-Haddad, Luttfi A., Alawee, Wissam H., Dhahad, Hayder A., Jaber, Alaa Abdulhady, Al-Haddad, Sinan A.

“… Solar distillers are of significant importance in advanced technologies, as they provide a sustainable approach to address the issue of water purification. The …”
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Efficient multidisciplinary modeling of aircraft undercarriage landing gear using data-driven Naïve Bayes and finite element analysis von Al-Haddad, Luttfi A., Mahdi, Nibras M.

“… Advancements in aircraft design and production necessitate exhaustive simulations of critical components, such as landing gear, to ensure optimal performance …”
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Optimization of heat transfer in two-phased nanofluid flow over a biaxial sheet using Taguchi-GRA method von Raza, Jawad, Ashfaq, Amna

“… Nanofluids were proposed in the early 1990s and have gone through enormous growth from theoretical ideas to realistic technologies in numerous fields, …”
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Thermal performance of casson hybrid nanofluid with radiative effects and convective conditions: applications to energy systems and industrial heat transfer von Ishaq, Manzoor, Khan, Sami Ullah, Garalleh, Hakim AL, Sowayan, Ahmed S., Tlili, Iskander

“… This analysis provides insight into optimizing the thermal management in industrial heat transfer and energy systems with applications of Casson hybrid …”
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Machine learning-based prediction of heat transfer enhancement in carreau fluids with impact of homogeneous and heterogeneous reactions von Fatima, Nahid, Ghodhbani, Refka, Khalid, Nouman, Khan, Muhammad Imran, Taha, Talal, Ijaz, Nouman, Saleem, Najma

“… This work uses a supervised machine learning approach to examine the boundary layer flow of a non-Newtonian fluid affected by homogeneous and heterogeneous …”
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Metaheuristic optimization of machine learning models for strength prediction of high-performance self-compacting alkali-activated slag concrete von Parhi, Suraj Kumar, Panda, Soumyaranjan, Dwibedy, Saswat, Panigrahi, Saubhagya Kumar

“… The present study focuses on producing high-performance eco-efficient alternatives to conventional cement-based composites. The study is divided into two …”
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Estimation of California bearing ratio for hill highways using advanced hybrid artificial neural network algorithms von Thapa, Ishwor, Ghani, Sufyan

“… California bearing ratio (CBR) is one of the important parameters that is used to express the strength of the pavement subgrade of railways, roadways, and …”
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Magnetohydrodynamic hybrid nanofluid flow with Cattaneo–Christov heat flux: thermal performance and entropy analysis von Ragavi, M., Sreenivasulu, P., Poornima, T.

“… In the study, the Cattaneo–Christov heat flux model acts as a cooling mechanism by regulating the energy boundary layer. This study analyzes the flow and …”
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