This research suggested natural hemp fiber-reinforced ropes (FRR) polymer usage to reinforce recycled aggregate square concrete columns that contain fired-clay solid brick aggregates in order to reduce the high costs associated with synthetic fiber-reinforced polymers (FRPs). A total of 24 square columns of concrete were fabricated to conduct this study. The samples were tested under a monotonic axial compression load. The variables of interest were the strength of unconfined concrete and the number of FRRlayers. According to the results, the strengthened specimens demonstrated an increased compressive strength and ductility. Notably, the specimens with the smallest unconfined strength demonstrated the largest improvement in compressive strength and ductility. Particularly, the compressive strength and strain were enhanced by up to 181% and 564%, respectively. In order to predict the ultimate confined compressive stress and strain, this study investigated a number of analytical stress–strain models. A comparison of experimental and theoretical findings deduced that only a limited number of strength models resulted in close predictions, whereas an even larger scatter was observed for strain prediction. Machine learning was employed by using neural networks to predict the compressive strength. A dataset comprising 142 specimens strengthened with hemp FRP was extracted from the literature. The neural network was trained on the extracted dataset, and its performance was evaluated for the experimental results of this study, which demonstrated a close agreement.
Earthquakes are among the most unpredictable and catastrophic natural hazards. Thousands of earthquakes occur every year due to ongoing seismic activity in the earth crust because of sudden release of stored elastic strain energy in the Earth’s lithosphere. Several hundred weak earthquakes, with magnitude of 2 or smaller on the Richter scale, occur every day worldwide [1]. Earthquakes are not only fatal for human lives but also cause colossal and sometimes unrepairable damage to buildings, infrastructure and other facilities, leaving a huge number of people homeless or without shelter. During the 21st century, earthquakes left more than 12.5 million people homeless with their houses either destroyed or heavily damaged. Masonry construction is very common across the world and both unreinforced and reinforced masonry is opted for construction purposes. Masonry structures are brittle in nature and most earthquake prone class of building particularly unreinforced masonry. Heavy damage to the existing structures, high death tolls, number of injured and displaced people in the case of masonry buildings during the past earthquakes verifies the vulnerability of this type of construction [2]. In Feb 2011, a 6.3 magnitude earthquake that occurred approximately 10 kilometers away from the city center hit Christchurch in New Zealand. Even though it was a moderate earthquake, smaller than a past earthquake of 7.1 magnitude of Sep 2010, the damage caused to the buildings was much devastating due to higher ground shaking levels in the city. Among all building types, unreinforced masonry buildings performed the worst and suffered the highest damages [3] In many countries including Thailand, masonry was an integral part of building construction for ages. In the past, masonry was being used for construction of load bearing walls in low and medium rise buildings as well as for cladding and partition walls. Apart from residential facilities, masonry was also commonly used for a wide range of buildings including educational, industrial and commercial buildings. There are several benefits of masonry wall construction including load bearing, resistant to weather changes, fire protection, sound and thermal insulation [4-8]. Masonry construction is generally durable that stays serviceable for a long time, easy to work with and it can also be utilized for architectural and aesthetic purposes. The high demand of construction of buildings gives reason to find ways to fulfill and to solve the problems related to the construction. Interlocking bricks is an alternative system which is similar to the “LEGO blocks” that use less or minimum mortar to bind the bricks together [9-15]. Interlocking bricks were introduced to reduce the use of manpower, hence fulfill the requirement of Industrialized Building System (IBS). Interlocking brick system is a fast and cost-effective construction system which offers good solution in construction. In Thailand, cement-clay interlocking (CCI) bricks made of locally available clay are widely used to construct low rise residential buildings throughout the country [16-21]. These interlocking bricks are manufactured locally in small factories located in different regions of Thailand. At present, there are at least 700 brick manufacturing plants in Thailand [22]. In the past, different researchers have investigate the structural response of the CCI brick masonry walls. For example, Joyklad and Hussain (2018) conducted a very detailed experimental study on the axial and diagonal compressive response of the CCI bricks masonry walls. The results indicate that the structural of the CCI brick masonry walls is very weak especially under pure diagonal compression [23, 24]. In another study, Joyklad and Hussain (2020) studied lateral response of cement clay interlocking brick walls by testing large scale CCI brick masonry walls subjected to lateral earthquake loading. Experimental results indicate very poor performance of CCI brick masonry walls against lateral loading. The recorded lateral drifts were very small and CCI brick masonry walls were failed due to sliding and crushing of the CCI bricks [25]. Both above studies indicate that in-plane ultimate failures of CCI brick masonry walls are very vulnerable against both static and lateral cyclic loading. Thus, the ultimate failures of CCI brick masonry walls in another direction i.e., out-of-plane direction could be much more dangerous and vulnerable. Further, in the event of an earthquake the failure of masonry walls in out-of-plane direction could cause heavy damage. A detailed review of existing studies indicate that no research effort has been conducted on the flexural strengthening of CCI brick masonry walls to enhance the load carrying capacity and ductility of the CCI brick masonry walls in the out-of-plane direction. There is an urgent need to explore the efficiency of low-cost and locally available techniques to enhance the load resistance capacity and ductility of CCI brick masonry wall in out-of-plane direction. This study is proposed to investigate the use of expanded metal mesh and fiber glass polymer composites for flexural strengthening of CCI brick masonry walls. For this purpose, a large-scale experimental program is planned in which a total number of 26 CCI brick masonry walls will be constructed and tested in out-of-plane direction to investigate the efficiency of expanded metal mesh and fiber glass polymer composites to enhance the load resistance and ductility of CCI brick masonry walls. References: 1. How Often Do Earthquakes Occur? Incorporated Research Institutions for Seismology Available at: https://www.iris.edu/hq/inclass/fact-sheet/how_often_do_earthquakes_occur. 2. Roser, M. & Ritchie, H. Natural Catastrophes. (2018). Available at: https://ourworldindata.org/natural-catastrophes. 3. Moon, L. M., Griffith, M. C., Dizhur, D. & Ingham, J. M. Performance of unreinforced masonry structures in the 2010/2011 Canterbury earthquake sequence. in 15th world conference on earthquake engineering (15WCEE): Lisbon, Portugal (2012). 4. Likelihood of Earthquakes in Thailand. Chula International Communication Center. Available at: http://www.cicc.chula.ac.th/eng/2012-04-26-04-23-32/111-likelihood-of-earthquakes-in-thailand.html. 5. Løvholt, F. et al. Earthquake related tsunami hazard along the western coast of Thailand. (2006). 6. Tsuji, Y. et al. The 2004 Indian tsunami in Thailand: Surveyed runup heights and tide gauge records. Earth, planets Sp. 58, 223–232 (2006). 7. Bang Niang police boat. Electrostatico (2006). Available at: https://www.flickr.com/photos/electrostatico/321172469/in/set-72157594418089264/. 8. Ruangrassamee, A. et al. Investigation of tsunami-induced damage and fragility of buildings in Thailand after the December 2004 Indian Ocean tsunami. Earthq. Spectra 22, 377–401 (2006). 9. Documents on Ecological Disasters. Department of Mineral Resources of Thailand. Available at: http://www.dmr.go.th/ewt_news.php?nid=6814. 10. A 6.0 Magnitude Earthquake Hits Northern Thailand, Causing Significant Damage. The International Information Center for Geotechnical Engineers (2014). Available at: https://www.geoengineer.org/news-center/news/item/815-6-3-magnitude-earthquake-hits-northern-thailand-causing-significant-damage. 11. Earthquake in Northern Thailand. Kompasiana (2014). Available at: https://www.kompasiana.com/bangkokblogger/gempa-bumi-di-thailand-utara_54f76a01a3331189338b47d0. 12. Experts Say Thailand Not Prepared for Another Eathquake Like Chiang Rai. Chiang Rai Times (2015). Available at: https://www.chiangraitimes.com/experts-say-thailand-not-prepared-for-another-earthquake-like-chiang-rai.html. 13. Thai earthquake. The Baltimore Sun (2014). Available at: http://darkroom.baltimoresun.com/2014/05/a-big-red-shoe-the-vaticans-elite-swiss-guard-earthquake-in-thailand-israeli-independence-day-may-6/thai-earthquake-2. 14. Ruangrassamee, A., Ornthammarath, T. & Lukkunaprasit, P. Damage due to 24 March 2011 M6. 8 Tarlay earthquake in Northern Thailand. in 15th world conference on earthquake engineering (15WCEE): Lisbon, Portugal (2012). 15. Shakir, A. A., Naganathan, S. & Mustapha, K. N. Properties of bricks made using fly ash, quarry dust and billet scale. Constr. Build. Mater. 41, 131–138 (2013). 16. Sadek, D. M. Physico-mechanical properties of solid cement bricks containing recycled aggregates. J. Adv. Res. 3, 253–260 (2012). 17. Kadir, A. A. & Mohajerani, A. Physical and mechanical properties of fired clay bricks incorporated with cigarette butts: Comparison between slow and fast heating rates. in Applied Mechanics and Materials 421, 201–204 (Trans Tech Publ, 2013). 18. Karaman, S., Ersahin, S. & Gunal, H. Firing temperature and firing time influence on mechanical and physical properties of clay bricks. (2006). 19. Binici, H., Aksogan, O. & Shah, T. Investigation of fibre reinforced mud brick as a building material. Constr. Build. Mater. 19, 313–318 (2005). 20. Mechanical Properties of Interlocking Block with Coconut Shell Ash. in The 8th National Conference on Technical Education (2014). 21. Charoennuekul, C. Interlocking Blocks Containing Oil Palm Ash and Shells Waste. J. Community Dev. Life Qual. 2, 103–112 (2014). 22. Hendry, A. W. Reinforced and prestressed masonry. (Longman Scientific & Technical, 1991). 23. JOYKLAD, P., & HUSSAIN, Q. (2019). Performance of Cement Clay Interlocking Hollow Brick Masonry Walls Subjected to Diagonal Compression. Journal of Engineering Science and Technology, 14(4), 2152-2170. 24. Joyklad, P., & Hussain, Q. (2019). Axial compressive response of grouted cement–clay interlocking hollow brick walls. Asian Journal of Civil Engineering, 20(5), 733-744. 25. JOYKLAD, P., & HUSSAIN, Q. (2020). LATERAL RESPONSE OF CEMENT CLAY INTERLOCKING BRICK MASONRY WALLS SUBJECTED TO EARTHQUAKE LOADS. Journal of Engineering Science and Technology, 15(6), 4320-4338.
คณะแพทยศาสตร์
This research studies the effect of CBD on the excitability of mice nociceptive trigeminal ganglion neurons. The electrophysiological parameters of the mouse trigeminal ganglion cells are measured using a Whole Cell Current Clamp Model on a primary cell culture treated with 0.5 uM CBD for 24 hours compared to a control group. After obtaining the results statistical analysis is done using a Mann Whitney-U test.
คณะวิศวกรรมศาสตร์
The integration of intelligent robotic systems into human-centric environments, such as laboratories, hospitals, and educational institutions, has become increasingly important due to the growing demand for accessible and context-aware assistants. However, current solutions often lack scalability—for instance, relying on specialized personnel to repeatedly answer the same questions as administrators for specific departments—and adaptability to dynamic environments that require real-time situational responses. This study introduces a novel framework for an interactive robotic assistant (Beckerle et al. , 2017) designed to assist during laboratory tours and mitigate the challenges posed by limited human resources in providing comprehensive information to visitors. The proposed system operates through multiple modes, including standby mode and recognition mode, to ensure seamless interaction and adaptability in various contexts. In standby mode, the robot signals readiness with a smiling face animation while patrolling predefined paths or conserving energy when stationary. Advanced obstacle detection ensures safe navigation in dynamic environments. Recognition mode activates through gestures or wake words, using advanced computer vision and real-time speech recognition to identify users. Facial recognition further classifies individuals as known or unknown, providing personalized greetings or context-specific guidance to enhance user engagement. The proposed robot and its 3D design are shown in Figure 1. In interactive mode, the system integrates advanced technologies, including advanced speech recognition (ASR Whisper), natural language processing (NLP), and a large language model Ollama 3.2 (LLM Predictor, 2025), to provide a user-friendly, context-aware, and adaptable experience. Motivated by the need to engage students and promote interest in the RAI department, which receives over 1,000 visitors annually, it addresses accessibility gaps where human staff may be unavailable. With wake word detection, face and gesture recognition, and LiDAR-based obstacle detection, the robot ensures seamless communication in English, alongside safe and efficient navigation. The Retrieval-Augmented Generation (RAG) human interaction system communicates with the mobile robot, built on ROS1 Noetic, using the MQTT protocol over Ethernet. It publishes navigation goals to the move_base module in ROS, which autonomously handles navigation and obstacle avoidance. A diagram is explained in Figure 2. The framework includes a robust back-end architecture utilizing a combination of MongoDB for information storage and retrieval and a RAG mechanism (Thüs et al., 2024) to process program curriculum information in the form of PDFs. This ensures that the robot provides accurate and contextually relevant answers to user queries. Furthermore, the inclusion of smiling face animations and text-to-speech (TTS BotNoi) enhanced user engagement metrics were derived through a combination of observational studies and surveys, which highlighted significant improvements in user satisfaction and accessibility. This paper also discusses capability to operate in dynamic environments and human-centric spaces. For example, handling interruptions while navigating during a mission. The modular design allows for easy integration of additional features, such as gesture recognition and hardware upgrades, ensuring long-term scalability. However, limitations such as the need for high initial setup costs and dependency on specific hardware configurations are acknowledged. Future work will focus on enhancing the system’s adaptability to diverse languages, expanding its use cases, and exploring collaborative interactions between multiple robots. In conclusion, the proposed interactive robotic assistant represents a significant step forward in bridging the gap between human needs and technological advancements. By combining cutting-edge AI technologies with practical hardware solutions, this work offers a scalable, efficient, and user-friendly system that enhances accessibility and user engagement in human-centric spaces.
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
This research aims to develop an automatic gemstone color sorting machine to overcome the limitations of manual color sorting, which can be restricted by speed and accuracy. This study applies deep learning technology to analyze and classify gemstone colors precisely, developing an algorithm capable of accurately detecting and categorizing color shades. An automated conveyor system was also designed to efficiently transport gemstones through the color sorting process, allowing for continuous operation. The sorting machine works by capturing high-resolution images of the gemstones, processing them with software to classify color shades, and directing each gemstone to its designated position on the automated conveyor. Experimental results demonstrate that the automated color sorting machine, integrated with the conveyor system, achieves high speed and accuracy, significantly reducing labor costs and enhancing the efficiency of gemstone color sorting.