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Genetic Programming Based Formulation to Predict Compressive Strength of High Strength Concrete [PDF]

Civil Engineering Infrastructures Journal, 2017
This study introduces, two models based on Gene Expression Programming (GEP) to predict compressive strength of high strength concrete (HSC). Composition of HSC was assumed simplified, as a mixture of six components (cement, silica fume, super ...
Gholamreza Abdollahzadeh, Ehsan Jahani, Zahra Kashir   +2 more
doaj   +1 more source

Evaluation of artificial neural network, neuro-fuzzy and multivariate regression modelling for prediction of concrete compressive strength via point load test [PDF]

مجله مدل سازی در مهندسی, 2020
Nowadays, the determination of in place concrete strength is more considered. The necessity of in situ testing can be expressed in a variety of applications such as structural change or development, quality control, strength evaluation and concrete ...
meysam effati, rahmat madandoust, zeynab fallah zarjoo bazkiyaei   +2 more
doaj   +1 more source

PREDICTING WOOD STRENGTH UPON COMPRESSION ALONG FIBERS

Architecture and Engineering, 2018
According to the basic principles of bionics, internal forces are formed in the tree stem during its growth. Appearance and development of such forces are mainly caused by external effects, where the main external effect is a wind load. Internal forces develop in response to the powerful effect of the wind load on tree stems.
Vladimir Glukhikh, Anna Okhlopkova
openaire   +3 more sources

Compressive Strength Prediction of Alkali-Activated Slag Concretes by Using Artificial Neural Network (ANN) and Alternating Conditional Expectation (ACE)

Advances in Civil Engineering, 2022
Compressive strength of alkali-activated slag (AAS) concrete is influenced by multi-factors in a nonlinear way. Both artificial neural network (ANN) and alternating conditional expectation (ACE) models of 3-day (3 d) and 28-day (28 d) compressive ...
Xiaoyu Qin, Qianmin Ma, Rongxin Guo, Zhigang Song, Zhiwei Lin, Haoxue Zhou   +5 more
doaj   +1 more source

Using the Maturity Method in Predicting the Compressive Strength of Vinyl Ester Polymer Concrete at an Early Age

Advances in Materials Science and Engineering, 2017
The compressive strength of vinyl ester polymer concrete is predicted using the maturity method. The compressive strength rapidly increased until the curing age of 24 hrs and thereafter slowly increased until the curing age of 72 hrs.
Nan Ji Jin, Kyu-Seok Yeon, Seung-Ho Min, Jaeheum Yeon   +3 more
doaj   +1 more source

Research on Compressive Strength of Manufactured Sand Concrete Based on Response Surface Methodology (RSM)

Applied Sciences, 2022
Traditional natural river sand is used as a fine aggregate for concrete, but due to the severe environmental situation in recent years, many places have asked for a ban or restriction on the extraction of river sand.
Hui Ma, Zhenjiao Sun, Guanguo Ma
doaj   +1 more source

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang, Chengsong Yue, Zhuang Li, Xiaolei Shi, Haoxuan Zhu, Jie Yang, Linyu Li, Jiaxing Song, Shitao Fan, Gaoming Li, Wenzhe Sun, Zhixian Ye, Jiacheng Huang, Dahong Yang, Jinfu Ma, Xu Xu, Zhixi Wang, Lilan Wang, Guojian Liu, Fengli Li, Changwei Guo, Li Qi, Wenjie Zi   +22 more
wiley   +1 more source

Prediction of concrete compressive strength using support vector machine regression and non-destructive testing

Case Studies in Construction Materials
Performance assessment of existing building structures, especially concrete compressive strength assessment, is a crucial aspect of engineering construction for most industrialized countries. Non-destructive testing (NDT) techniques are commonly employed
Wanmao Zhang, Dunwen Liu, Kunpeng Cao
doaj   +1 more source

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

Arthritis Care &Research, EarlyView.
Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo, Robert Fox, Katherine M. Hammitt, Julie Frantsve‐Hawley, Matthew C. Baker, Stamatina Danielides, Eduardo De Sousa, Brent P. Goodman, Jennifer K. King, Steven Mandel, Ghaith Noaiseh, Pantelis P. Pavlakis, George Sarka, R. Hal Scofield, Arun Varadhachary, Daniel J. Wallace, Matt Makara, Nancy Carteron, Steven Carsons, in collaboration with the Consensus Expert Panel (CEP) members, G. Alden Adkins, Brittany Adler, Hossein Ansari, Senada Arabelovic, Alan Baer, Denis Balaban, Shamik Bhattacharyya, Evelyn Bromet, Krishna Chaganti, Kamal Chemali, Melissa Cortez, Schartess Culpepper, Paul Dellaripa, Dana Direnzo, Daniel El Bogdadi, Robert Fearon, Mehrnez Fischbach, Judi Furlong, Christopher Gibbons, Rachael Gordon, Thomas Grader Beck, Syed Haider, Larry Hollenbeck, Chadwick R. Johr, Stuart S. Kassan, Brian King, Octavia Kincaid, Eugene Kissin, Vasileios Kyttaris, Lindsay Lally, Brandon M. Law, Janet Lewis, Scott M. Lieberman, Amanda Lusa, Joseph Lutt, Rashmi Maganti, Arthur M. Mandelin, Sara McCoy, Kerry Neall, Timothy Niewold, Anne Louise Oaklander, Ruben A. Peredo‐Wende, Lynn Petruzzi, Mark A. Porter, Guada Respicio Duque, Tania Reyna, Nathaniel M. Robbins, Elliot D. Rosenstein, Laura Rosow, Breanna Ruthrauff, Amit Sachdev, Nora Sandorfi, Sarah Schafer, Elena Schiopu, Chokkalingam Siva, Daniel Small, Sara M. Stern, Lauren Stiles, Susan Stoddard, Jinny Tavee, Donald Thomas, Edward L. Treadwell, Nagagopal Venna, Steven Vernino, Frederick B. Vivino, Brittany Weber, Sepideh Yadollahi, Huiying Yu, Scott Zashin   +88 more
wiley   +1 more source

Prediction Of Compressive Strength Using Artificial Neural Network

, 2013
Structures are a combination of various load carrying members which transfer the loads to the foundation from the superstructure safely. At the design stage, the loading of the structure is defined and appropriate material choices are made based upon their properties, mainly related to strength.
Singh, Vijay Pal, Kotiyal, Yogesh Chandra   +1 more
openaire   +1 more source