research paper on bridge engineering

Bridge Structural Damage Identification Based on Parallel Multi-head Self-attention Mechanism and Bidirectional Long and Short-term Memory Network

• Research Article-Civil Engineering
• Published: 02 May 2024

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• Jiaxing Wang 1 ,
• Hualin Dai 1 ,
• Liyuan Ning 1 &
• Peng Nie 1  

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To address the health monitoring challenges of bridge structures and identify suitable damage features, this paper initially denoises the input data using variational mode decomposition combined with wavelet threshold denoising. The multi-head self-attention mechanism is combined in parallel with the bidirectional long and short-term memory network to fully utilize the former’s capability to get the global features of the data and the latter’s capability to obtain the temporal features of the data. Ultimately, these two features are horizontally spliced to construct the parallel multi-head self-attention mechanism and bidirectional long and short-term memory (PMABL) network model. This paper uses the steel truss structure and IASC-ASCE benchmark datasets to assess the model. Experimental results demonstrate that the PMABL model surpasses existing models, achieving higher damage identification accuracy and better recognition ability for damage patterns with similar characteristics.

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Acknowledgements

We thank the editor and reviewers for their constructive suggestions for improving the work. We thank the Tianjin Municipal Science and Technology Program (Grant No. 23YDTPJC00350) for supporting this study.

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Qi Liu, Jiaxing Wang, Hualin Dai, Liyuan Ning & Peng Nie

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Liu, Q., Wang, J., Dai, H. et al. Bridge Structural Damage Identification Based on Parallel Multi-head Self-attention Mechanism and Bidirectional Long and Short-term Memory Network. Arab J Sci Eng (2024). https://doi.org/10.1007/s13369-024-09035-0

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Received : 25 September 2023

Accepted : 28 March 2024

Published : 02 May 2024

DOI : https://doi.org/10.1007/s13369-024-09035-0

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Abstract: The introduction of genome engineering technology has transformed biomedical research, making it possible to make precise changes to genetic information. However, creating an efficient gene-editing system requires a deep understanding of CRISPR technology, and the complex experimental systems under investigation. While Large Language Models (LLMs) have shown promise in various tasks, they often lack specific knowledge and struggle to accurately solve biological design problems. In this work, we introduce CRISPR-GPT, an LLM agent augmented with domain knowledge and external tools to automate and enhance the design process of CRISPR-based gene-editing experiments. CRISPR-GPT leverages the reasoning ability of LLMs to facilitate the process of selecting CRISPR systems, designing guide RNAs, recommending cellular delivery methods, drafting protocols, and designing validation experiments to confirm editing outcomes. We showcase the potential of CRISPR-GPT for assisting non-expert researchers with gene-editing experiments from scratch and validate the agent's effectiveness in a real-world use case. Furthermore, we explore the ethical and regulatory considerations associated with automated gene-editing design, highlighting the need for responsible and transparent use of these tools. Our work aims to bridge the gap between beginner biological researchers and CRISPR genome engineering techniques, and demonstrate the potential of LLM agents in facilitating complex biological discovery tasks.

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Advances in Bridge Engineering (ABE) is an open access journal sponsored by Southwest Jiaotong University in China. It aims to form an international platform for the academic and technical communication on the timely progress in bridge engineering. It is also a significant place to share the latest achievements in bridge engineering between China and the world. Topics include but not are limited to:

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Princeton engineering, the science of static shock jolted into the 21st century.

By Scott Lyon

April 9, 2024

Static electricity has puzzled scientists for thousands of years. Above, water ions carry charge between two electrically insulating materials. The blue mesh represents the flow of charge that could be felt as a spark. Image courtesy of the researchers

Shuffling across the carpet to zap a friend may be the oldest trick in the book, but on a deep level that prank still mystifies scientists, even after thousands of years of study.

Now Princeton researchers have sparked new life into static. Using millions of hours of computational time to run detailed simulations, the researchers found a way to describe static charge atom-by-atom with the mathematics of heat and work. Their paper appeared in Nature Communications on March 23.

The study looked specifically at how charge moves between materials that do not allow the free flow of electrons, called insulating materials, such as vinyl and acrylic. The researchers said there is no established view on what mechanisms drive these jolts, despite the ubiquity of static: the crackle and pop of clothes pulled from a dryer, packing peanuts that cling to a box.

“We know it’s not electrons,” said Mike Webb , assistant professor of chemical and biological engineering , who led the study. “What is it?”

Webb first asked himself that question as a postdoctoral researcher at the University of Chicago. He puzzled over it with colleagues, baffled that such a common phenomenon could be so poorly understood. But the more they looked, the more insurmountable the questions became. “It just seemed out of reach,” he said.

It had been out of reach since Thales of Miletus first rubbed amber with fur and watched the amber (Greek: elektron ) collect feathers and dust — 26 centuries ago. Thales was one of the first people to explain nature through reason rather than supernatural forces. He played a critical role in the development of philosophy and eventually science. Despite the depth and breadth of knowledge accumulated over subsequent millennia, despite the myriad technologies born of that knowledge, science, in all that time, never cracked static. Maybe it never would.

At Princeton Webb got to talking to his colleague Sankaran Sundaresan , a leading expert in chemical reaction engineering who specializes in the flow of materials in gaseous chambers. In those environments, loaded with volatile chemicals, a stray spark could be deadly. Sundaresan had worked with static charge for decades, using reliable experimental data to predict but not fully fathom how charge moved in these systems.

“I treat that like a black box,” said Sundaresan, the Norman John Sollenberger Professor in Engineering. “We do some experiments and the experiments tell me: This is what happens. This is the charge.” He works down to the limit and carefully notes what he sees. What happens inside the black box remains a mystery.

One thing you find no matter where you look, though, according to Sundaresan, is trace amounts of water. Charged water molecules are everywhere, in nearly everything, clinging to virtually every surface on Earth. Even in extremely arid conditions, under intense heat, stray water ions pool into microscopic oases that harbor electrical charge.

Incidentally, Thales is best known not for his work on electricity but for an even grander project. He proposed that the entirety of nature was made of water, that water was the ur-substance, the essential stuff. It was the first attempt at a unified theory of everything. Aristotle wrote it all down.

Over the arc of Sundaresan’s career, he and his colleagues shrunk that black box so that the mysteries have been pushed ever deeper. But mysteries they remain.

The conversation between him and Webb led to a mutual realization: Sundaresan had decades of insight into data from reactors, and Webb could apply sophisticated atom-scale computational techniques to look at these water ions from the perspective of thermodynamics. How much energy would it take for a water ion to bolt from surface to surface? Maybe that would explain what was happening inside Sundaresan’s black box. The unresolved puzzle from Webb’s postdoc days came unlocked.

By modeling the relationship between charged water molecules and the amount of energy those molecules have available to propel them between surfaces, Webb and graduate student Hang Zhang demonstrated a very precise mathematical approximation of how electrical charge moves between two insulating materials.

In other words, they used math to simulate the movement of around 80,000 atoms. Those simulations matched real-life observations with a very high degree of precision. It turns out, in all likelihood, static shock is a function of water, and more specifically, the free energy of stray water ions. With that framework, Webb and Zhang revealed the molecular underpinnings of those familiar shocks in infinitesimal detail. They blew Sundaresan’s black box wide open. If only Thales could see.

The paper “Thermodynamic driving forces in contact electrification between polymeric materials” was published March 23 in the journal Nature Communications. Support for this work was provided by the Princeton Innovation Project X Fund and the U.S. Department of Energy. The simulations and analyses were performed using the resources of Princeton Research Computing.

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