Recent research in the construction industry justifi es the partial replacement of cement by nanomaterials. Graphene oxide na-nocomposite is a material that has been recently proposed as a suitable alternative for part of cement in concrete. However, there is no research on the addition of these synthetic compounds to concrete, and little is known about the effect of these materials on the mechanical and durability properties of concrete. Therefore, in this laboratory study, the synthesis of Fe3O4/SiO2/GO and GO nanoparticles was performed and confi rmed with FT-IR, SEM, TEM analyses. These nanoparticles partially replaced cement by 1, 2, 3, and 4 % by mass of the cement, and their effect on mechanical and durability properties of concrete at the ages of 7, 28, and 90-day, were investigated. The results suggest that mixtures in which 2% Fe3O4/ SiO2/GO and 3% GO substituted cement yielded the best results in the mechanical properties tests. Concrete containing Fe3O4/SiO2/GO nanoparticles enhanced compressive strength by 14% and splitting tensile strength by 12% after 28-days of curing. Also, concrete containing 2% Fe3O4/SiO2/GO, had the highest re-sistance to an acidic environment, the lowest permeability, and the highest transient pulse velocity in the ultrasonic test, compared to the specimen containing GO nanoparticles and the control sample.

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To examine the correlation between worker safety, workplace interpersonal problems, and individual flexibility within a cyberphysical human system (CPHS), we employed a stacked autoencoder (SAE) approach and a cloud-based computing environment. The study’s statistical population includes construction companies in Mashhad, Iran. To collect data, descriptive surveys and applied research approaches are employed. Thus, data is collected using a cloud-based platform, data processing tools, and information analysis methods. It is our main objective to figure out how to reduce construction accidents and make people safer. Our study used a sample of 200 people to study the entire study population because it is difficult to study the entire study population. There were 151 valid questionnaires collected after the questionnaire distribution. We developed a 28-item questionnaire as part of the study in addition to the Questionnaire on Experience and Evaluation of Work (QEEW). Implementing an optimized SAE network can reduce dangerous situations, physical injuries, supervisor conflict, workplace stress, interpersonal conflict, and colleagues’ involvement. As a consequence of the large amount of data needed for quick analysis and mechanism construction, cloud computing performed admirably. The study of interpersonal conflicts and individual flexibility among construction workers was necessary because only limited research had been conducted on these topics.