{"id":256864,"date":"2026-07-13T15:07:03","date_gmt":"2026-07-13T12:07:03","guid":{"rendered":"https:\/\/1kitap1.com\/en\/conference-on-advances-in-materials-k-muthukkumaran\/"},"modified":"2026-07-13T15:07:03","modified_gmt":"2026-07-13T12:07:03","slug":"conference-on-advances-in-materials-k-muthukkumaran","status":"publish","type":"post","link":"https:\/\/1kitap1.com\/en\/conference-on-advances-in-materials-k-muthukkumaran\/","title":{"rendered":"Conference On Advances In Materials – K Muthukkumaran"},"content":{"rendered":"
\"<\/figure>\n

and digital models, and HTTP is used to respond to the data requests from a digital model. Both transmission protocols run over TCP\/IP connection standards. Smart sensors were tagged with regard to their IP address through HTTP to facilitate their communication with a unique identi\ufb01cation. The Python-based kernel hosts these services, which communicate with the database. 3.3 Development of a Virtual Management Tool In this experimental study, Autodesk Revit was used to create a digital BIM model of a structural member.<\/p>\n

The model was modi\ufb01ed, and a virtual sensor was created using Dynamo. Physical sensor data was linked and analysed in a proposed framework. Information from Google Sheets was linked to Dynamo using the BIMOne add-on. The Dynamo programming consists of four stages. The \ufb01rst stage involves linking the Google Sheet to the Dynamo and accessing all the information with sensor data.<\/p>\n

In the second stage, nodes extract parameters from the data list and store them in two lists. The third stage handles the decision-making process using the Monte Carlo approach and updates the system according to the simulated values. Finally, updated parametric data is linked with the BIM models in the last stage. It de\ufb01nes various colour ranges based on the updated values to show the severity of the structure.<\/p>\n

Case Study In the case study, a test frame is set to monitor its physical parameters using smart devices, one ultrasonic sensor S1 attached to the frame at node 4, and one relay A1 as shown in Fig. 5. NodeMCU (microcontroller) is connected to the sensor to transform data. The main properties of the smart devices used for the case study are given in Table 1.<\/p>\n

The data acquired from the sensor are sent to a cloud through the Internet, and, in turn, the data is linked to Dynamo BIM. Thus, a communication platform is developed by linking the digital and virtual models through IoT. Figure 6 illustrates the work\ufb02ow process to perform autonomous decisions regarding the structure\u2019s integrity. The system starts with the sensor installation; for this work, a force sensor is used to measure the applied force, and an ultrasonic sensor is used to measure the de\ufb02ection due to the force attached to the modelled frame as described in the above section.<\/p>\n

The sensors are connected to a microcon- troller NodeMCU 1.0 ESP8266, which enables Wi-Fi, and these sensors are codi\ufb01ed in the Arduino IDE application. For transferring the data to the the google sheets a script is made in google sheets app script and a deployment ID is generated which is then linked with the sensor code so that the data from the sensors is stored in the sheets over HTTP protocol . The script is made in Google Sheets app script, and a deployment ID is generated, which is then linked with the sensor code so that the data from the sensors is stored in M. Chand and D.<\/p>\n

Karthik Fig.<\/p>\n

\n

Marco di Prisco, Politecnico di Milano, Milano, Italy Sheng-Hong Chen, School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, China Ioannis Vayas, Institute of Steel Structures, National Technical University of Athens, Athens, Greece Sanjay Kumar Shukla, School of Engineering, Edith Cowan University, Joondalup, Australia Anuj Sharma, Iowa State University, Ames, USA Nagesh Kumar, Department of Civil Engineering, Indian Institute of Science Bangalore, Bengaluru, India Chien Ming Wang, School of Civil Engineering, The University of Queensland, Brisbane, Australia Zhen-Dong Cui, China University of Mining and Technology, Xuzhou, China Xinzheng Lu, Department of Civil Engineering, Tsinghua University, Beijing, China Lecture Notes in Civil Engineering (LNCE) publishes the latest developments in Civil Engineering\u2014quickly, informally and in top quality.<\/p>\n

Though original research reported in proceedings and post-proceedings represents the core of LNCE, edited volumes of exceptionally high quality and interest may also be considered for publi- cation. Volumes published in LNCE embrace all aspects and sub\ufb01elds of, as well as new challenges in, Civil Engineering. Topics in the series include: \u2022 Construction and Structural Mechanics \u2022 Building Materials \u2022 Concrete, Steel and Timber Structures \u2022 Geotechnical Engineering \u2022 Earthquake Engineering \u2022 Coastal Engineering \u2022 Ocean and Offshore Engineering; Ships and Floating Structures \u2022 Hydraulics, Hydrology and Water Resources Engineering \u2022 Environmental Engineering and Sustainability \u2022 Structural Health and Monitoring \u2022 Surveying and Geographical Information Systems \u2022 Indoor Environments \u2022 Transportation and Traf\ufb01c \u2022 Risk Analysis \u2022 Safety and Security To submit a proposal or request further information, please contact the appropriate Springer Editor: \u2013 Pierpaolo Riva at pierpaolo.riva@springer.com (Europe and Americas); \u2013 Swati Meherishi at swati.meherishi@springer.com (Asia\u2014except China, Australia, and New Zealand); \u2013 Wayne Hu at wayne.hu@springer.com (China).<\/p>\n

All books in the series now indexed by Scopus and EI Compendex database! K. Muthukkumaran \u00b7 K. M. Mini \u00b7 Sanjay Kumar Shukla \u00b7 K. S. Kasiviswanathan Editors Proceedings of International Conference on Advances in Materials, Modeling, and Analysis for Sustainable and Resilient Infrastructure Volume 1 Editors K. Muthukkumaran Department of Civil Engineering National Institute of Technology Tiruchirappalli Tiruchirappalli, Tamil Nadu, India Sanjay Kumar Shukla Geotechnical and Geoenvironmental Engineering Research Group, School of Engineering Edith Cowan University Perth, WA, Australia K.<\/p>\n

M. Mini Department of Civil Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore, Tamil Nadu, India K. S.<\/p>\n<\/blockquote>\n

This is a short excerpt from the opening of “” by Unknown, quoted for review and introduction purposes. All rights belong to the copyright holders.<\/em><\/p>\n

\n
\n

Table of Contents<\/p>\nToggle<\/span><\/path><\/svg><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n