Destructive Power Research Articles

Secure synchronization control for complex dynamic networks with event-triggered communication strategy under multi-channel denial-of-service attacks.

This article addresses the secure synchronization problem for complex dynamical networks (CDNs) with observer-based event-triggered communication strategy (ETCS) under multi-channel denial-of-service attacks (MCDSAs). Due to external environmental interference, the observers are designed to accurately estimate the state of the network systems. Meanwhile, the impact of cyber attacks on system security is considered. Differing from other studies, MCDSAs in this paper are considered, which present the interference of malicious attacks on the communication topology, observers and controllers. Based on the characteristics of cyber attacks, the model for CDNs with nonperiodic switching topology is established, and the observer-based intermittent control is proposed to achieve synchronization of CDNs. To decrease the network communication frequency and reduce the risk of cyber attacks, a new ETCS depending on estimate states is designed. Then, using Lyapunov stability theory, several synchronization conditions depending on the status parameters of MCDSAs are deduced, which may estimate the allowable ranges for the duration and frequency of MCDSAs. From these theoretical results, it can be observed that the destructive power of network attacks increases exponentially with the increase of attack duration. Finally, from simulation experiments, the availability of the designed controller and communication strategy is verified, which can ensure the synchronization for CDNs with MCDSAs.

Legacy of Dmitry Govorov - Olonkhohut Miterey in the context of modern socio-cultural space

The article examines the legacy of Dmitry Govorov - Olonkhohut Miterey in the modern socio-cultural space. According to ancient teachings, thought and, especially, word, have great creative and destructive power; therefore, people who possess these skills were considered special spiritual leaders on a par with outstanding shamans and blacksmiths. Thanks to the efforts of the enthusiast A. F. Boyarov, who recorded the full text of the olonkho, we know about its extensive repertoire, including the olonkho "Mulju Bege." It is known that in the 1970s - 1980s, the folk art of the peoples of Russia was in decline. However, in modern realities, there is a revival of national identity in the form of a movement for the revival of traditional ethnic culture, which leads to a more noticeable role of folklore in public life, the restoration of its origins and the preservation of traditions. The purpose of the article is to analyze the role of the olonkhohut (Olonkho-narrator) in the modern cultural environment using the work of Dmitry Govorov - Olonkhohut Miterey as an example. This study uses historical and typological comparison and a system analysis of modern storytelling. Particular attention is paid to the role of the olonkhohut personality in the context of the modern cultural space. The scholarly novelty of the article lies in the fact that it is the first to consider and analyze the personality of the olonkhohut in the context of the modern cultural environment, which has not been thoroughly studied by researchers to date. This work makes a significant contribution to understanding the role of the olonkhohut in modern culture.

A Symmetric Experimental Study of the Interaction Between Regular Waves and a Pontoon Breakwater with Novel Fin Attachments

Floating breakwaters are widely applied on the ocean water surface to protect human infrastructure from the destructive power of waves. This study designs and investigates the performance of a novel symmetric-pontoon floating breakwater with a symmetric pair of hydrofoils. Based at the Cranfield Ocean Systems Laboratory, the system was constructed and tested in various wave conditions using different fin configurations. The floating structure was anchored using a symmetric four-point mooring system. The tested waves were regular and symmetric perpendicular to the propagating direction. Key parameters, including the attenuated wave amplitude, motions of the breakwater, and the mooring forces, were measured. The wave parameters utilised for testing covered 1.61–5.42 relative wavelength to structural length, with wave heights of 3 cm and 5 cm. Results showed the 90° fin configuration can reduce wave transmission by up to 74%, with the lowest mooring forces at 3.05 relative wavelength, enhancing the performance of wave energy dissipation and structural seakeeping. At 90° setup, the mooring force was lowest at 2.41 relative wavelength. This research can inform novel designs of breakwaters to improve protection abilities for coastal cities and offshore infrastructures, especially renewable energy systems.

An image processing method for visualizing the Mach reflection process.

Abstract In near-ground explosions, Mach reflection occurs, generating Mach waves with considerable destructive power. Consequently, the propagation of these waves is a critical focus in the study of such detonations. This study presents a visualization method for the Mach reflection process based on image processing. By employing image processing techniques, the trajectories of the triple points are obtained, allowing for the analysis of their movement under varying explosive charges and heights. Results indicate that the interaction between detonation products and air, coupled with multiple reflections of rarefaction waves within the detonation products, leads to the convergence of these rarefaction waves at the explosion center, forming new shock waves. These shock waves, upon interacting with the ground, reflect again, resulting in multiple peaks in the overpressure time curves at measurement points. Additionally, it was observed that a smaller scaled height of the explosive charge results in a more curved Mach stem. For a constant explosive height, increasing the explosive quantity only marginally increases the height of the Mach stem. This research provides valuable insights into the Mach reflection phenomena in near-ground explosions.

Numerical simulation of combined action of explosion shock wave and prefabricated fragments

Abstract This article is based on the finite element software ANSYS/LS-DYNA to numerically simulate the damage and failure process of prefabricated fragments coupled with explosive shock waves. Obtain the initial velocity law of prefabricated fragments of different shapes and sizes driven by explosive shock waves. Numerical simulations were conducted on three modes of action (fragment action, shock wave action, and coupling action between fragments and shock waves), and it was found that the maximum destructive power was achieved under the coupling action of fragments and shock waves. Under the coupling effect of fragments and shock waves, the maximum deformation of the target plate gradually decreases as the blast distance increases; The law that as the thickness of the target plate increases, the maximum deformation of the target plate gradually decreases.

Evolutionary dynamics in spatial public goods games with environmental feedbacks.

Collective actions aimed at achieving goals such as resource sustainability and environmental protection often face conflicting interests between individuals and groups. These social dilemmas can be modeled using public goods games and collective risk dilemmas. However, in reality, multiple generations share a common pool of resources, leading to high costs for today's overexploitation that impacts future generations' welfare. This delayed effect creates a multigenerational conflict. To address this, we develop a coupled social-ecological coevolutionary model by establishing a relationship between individual payoffs and regional environmental quality. Our goal is to study how cooperative behaviors spread in a public goods game with environmental feedback and to identify the factors influencing this spread. We achieve this by examining the mechanisms behind certain phases and phase transitions, monitoring the spatial distribution of strategies, and assessing the environmental quality of all regions. Our findings reveal some counterintuitive results. For instance, despite cooperators' ability to enhance the environment, the overall level of cooperation in the system sometimes decreases. This is linked to cooperative clusters being invaded by defectors within the clusters' cracks. Additionally, the destructive power of defection and the cost of cooperation have more complex effects on the system.

Spleen tyrosine kinase inhibitors disrupt human neutrophil swarming and antifungal functions.

Neutrophils can amplify their destructive power through swarming, a crucial process against large targets that individual neutrophils cannot destroy. However, the molecular mechanisms controlling this process are just emerging. Here, we leveraged microscale tools to probe the biology of swarming against fungi. We used multiple chemical inhibitors and mapped SYK, PI3Ky, and JNK signaling roles during human neutrophil swarming against fungal clusters of Candida albicans. We also found that treating human neutrophils with GCSF and GM-CSF rescues some neutrophil antifungal function during SYK inhibition. These findings advance our understanding of swarming biology in humans while laying the foundation for developing therapeutics that enhance neutrophil function during immunosuppression.

Human Adaption to Climate Change: Marine Disaster Risk Reduction in the Era of Intelligence

With the intensification of global warming and sea level rise, extreme weather and climate events occur frequently, increasing the probability and destructive power of marine disasters. The purpose of this paper is to propose the specific application of artificial intelligence (AI) in marine disaster risk reduction. First, this paper uses computer vision to assess the vulnerability of the target and then uses CNN-LSTM to forecast tropical cyclones. Second, this paper proposes a social media communication mechanism based on deep learning and a psychological crisis intervention mechanism based on AIGC. In addition, the rescue response system based on an intelligent unmanned platform is also the focus of this research. Third, this paper also attempts to discuss disaster loss assessment and reconstruction based on machine learning and smart city concepts. After proposing specific application measures, this paper proposes three policy recommendations. The first one is improving legislation to break the technological trap of AI. The second one is promoting scientific and technological innovation to break through key technologies of AI. The third one is strengthening coordination and cooperation to build a disaster reduction system that integrates man and machine. The purpose of this paper is to reduce the risk of marine disasters by applying AI. Furthermore, we hope to provide scientific references for sustainability and human adaptation to climate change.

Visualization test and numerical simulations of 2D blasting crack propagation

Drilling and blasting, characterized by their efficiency, ubiquity, and cost-effectiveness, have emerged as predominant techniques in rock excavation; however, they are accompanied by enormous destructive power. Accurately controlling the blasting energy and achieving the directional fracture of a rock mass have become common problems in the field. A two-dimensional blasting (2D blasting) technique was proposed that utilizes the characteristic that the tensile strength of a rock mass is significantly lower than its compressive strength. After blasting, only a 2D crack surface is generated along the predetermined direction, eliminating the damage to the reserved rock mass caused by conventional blasting. However, the interior of a natural rock mass is a "black box”, and the process of crack propagation is difficult to capture, resulting in an unclear 2D blasting mechanism. To this end, a single-hole polymethyl methacrylate (PMMA) test piece was used to conduct a 2D blasting experiment with the help of a high-speed camera to capture the dynamic crack propagation process and the digital image correlation (DIC) method to analyze the evolution law of surface strain on the test piece. On this basis, a three-dimensional (3D) finite element model was established based on the progressive failure theory to simulate the stress, strain, damage, and displacement evolution process of the model under 2D blasting. The simulation results were consistent with the experimental results. The research results reveal the 2D blasting mechanism and provide theoretical support for the application of 2D blasting technology in the field of rock excavation.

A probability prediction model for flood disasters based on Multi-layer Perceptron

Abstract Flood disasters are characterized by high frequency, severe destructive power, and extensive impact. The prediction of flood disasters holds great significance. This paper proposes a flood disaster prediction model based on a multi-layer perceptron (MLP). Firstly, the model employs the Spearman correlation coefficient and random forest feature importance algorithm to identify the most influential feature indicators. Subsequently, an MLP neural network is established, trained, and optimized. Experimental findings demonstrate that the model accurately forecasts the likelihood of flood disasters through sample processing, achieving a coefficient of determination of approximately 85.27%.

A Review of Seismic Optimization Design of Building Structures with Uniform Response

Earthquakes threaten human survival with powerful destructive power, and the performance of buildings in earthquakes is crucial. The seismic design of traditional building structures has the limitations of non-uniform response to displacement and acceleration, which can easily lead to partial damage to the building, unreasonable structure and difficulty in post-earthquake repair, which seriously affects the comfort and safety of the building. It is emphasized that improving the seismic safety of buildings is not only an inevitable requirement to ensure the safety of people's lives, but also to meet people's needs for continuous improvement of building comfort. The review shows that it is of great practical significance to study the seismic optimization design method of building structures with uniform response, which provides an important reference direction for the future design of building structures.

Design and implementation of an accelerating rate calorimeter based on Modelica modeling

The safety of self-reactive chemicals has garnered attention due to their immense destructive power. The use of an accelerating rate calorimeter allows for more accurate measurement and understanding of the kinetic parameters and reaction mechanisms of self-reactive chemicals, thereby reducing the occurrence of major accidents. In this study, a new accelerating rate calorimeter is designed and constructed by combining Modelica and a fuzzy Proportional-Integral-Derivative algorithm. The feasibility of the calorimeter data was verified by using two solutions with significantly different reaction rates: 20 % mass fraction di‑tert‑butyl peroxide/toluene and tert-butylperoxy-2-ethylhecanoate. Their thermal hazard characteristic parameters were compared with the literature data. In addition, the risk level of thermal runaway was determined using the Stoessel risk assessment method. These results demonstrate that the accelerating rate calorimeter based on Modelica modeling meets the accuracy of thermal hazard characteristic parameters. It is capable of performing risk assessments for runaway reactions of self-reactive chemicals.

Features and Constitutive Model of Hydrate-Bearing Sandy Sediment’s Triaxial Creep Failure

In the longstanding development of hydrate-bearing sediment (HBS) reservoirs, slow and permanent deformation of the formation will occur under the influence of stress, which endangers the safety of hydrate development projects. This paper takes hydrate-bearing sandy sediment (HBSS) as the research object and conducts triaxial compression creep tests at different saturation degrees (20%, 30%, and 40%). The results show that the hydrate-containing sandy sediments have strong creep characteristics, and accelerated creep phenomenon will occur under the long-term action of high stress. The longstanding destructive power of the specimen progressively raises with the increase in hydrate saturation, but the difference in the triaxial strength of the specimen progressively increases. This indicates that the damage to the hydrate structure during long-term loading is the main factor causing the strength decrease. Further, a new nonlinear creep constitutive model was developed by using the nonlinear Burgers model in series with the fractional-order viscoplastic body model, which can well describe the creep properties of HBSS at different saturation levels.

Evaluation of Potential Flood Areas in the Basin of Lake Ladik through AHP and GIS Integration, (Samsun, Türkiye)

Floods are a problem of many countries on a global scale. In Türkiye, especially in the summer months, large floods occur in the Black Sea Region coastal belt. The number and the destructive power of experienced floods are increasing day by day. It is not possible to prevent the occurrence of floods. But it is possible to take the necessary measures to prevent it from turning into a disaster. Recently, susceptibility analyses have been carried out for floods and similar natural disasters and the results help decision-makers. Within the scope of this study, flood susceptibility analysis was carried out by using multiple geographical factors together in the Basin of Lake Ladik of Samsun Province in the Black Sea Region. In the study, Analytical Hierarchy Process (AHP), Geographic Information Systems (GIS) and Remote Sensing (RS) techniques were used, which are multi-criteria decision-making methods. In this context, flood susceptibility analysis of the basin was carried out by using nine (9) different geographical factors (slope, aspect, lithology, soil, basin size, land use, landforms, precipitation, and drainage density). As a result of the study, for floods, there were identified four (4) different levels as low, medium, high, and very high; and 36.77% of the basin was found to be low, 30.03% was medium, 11.43% was high and 21.77% was found to be sensitive to possible floods at a very high level. The results of the study are also important for decision-makers to make flood risk planning.

Post-disaster investigations of damage feature of buildings and structures due to several local strong winds in China during 2021–2024

Local strong winds such as tornadoes and downbursts are rare in terms of measured wind speed data due to their rapid formation and strong destructive power. Post-disaster investigations have become an important approach for rating the strength of these two kind of winds and analyzing structural failure mechanism. From 2021 to 2024, several tornadoes and downbursts occurred in China. This study delineated changes in the intensity levels of wind disasters along their paths based on on-site disaster investigations and established standards for the level of structural damage based on the extent of functional loss and repair. This study focused on the damage feature to light steel structures, masonry structures, steel-concrete structures, and pole structures, and discussed the causes of the damage from the perspectives of construction and force transmission mechanisms. In addition, this study estimated the equivalent wind speeds based on the damage feature of pole structures and metal roof claddings. To reproduce the damage process for a group of high-rise buildings, the computational fluid dynamic (CFD) technology is used to simulate the airflow distribution inside buildings under two conditions of open and closed interior doors. The investigation results can provide useful information for the wind intensity classification and rating standards in China. Meanwhile, compared with the interior doors being open or closed, closing indoor doors during strong winds can significantly reduce indoor wind speeds, which is beneficial for ensuring safety.

"When you live in a colony… every act counts": Exploring engagement in and perceptions of diverse anti-colonial resistance strategies in Puerto Rico.

While social psychology has contributed much to our understanding of collective action, other forms of resistance are understudied. However, in contexts of long-standing oppression-such as ongoing colonialism-and past repression of liberation struggles, other resistance strategies are important considering the constraints on overt, collective action in such contexts. This paper reports findings from an interview study in Puerto Rico (N = 22) exploring anti-colonial resistance. We analysed participants' own resistance, future preferred strategies, and descriptive norms of other ingroup members' resistance. Through thematic analysis, we identified six distinct forms of anti-colonial resistance. Notably, none of the participants reported participating in collective action. Instead, participants engaged in different forms of symbolic everyday resistance to preserve a positive, distinct cultural identity, and raise critical consciousness of the group's oppression. Additionally, more tangible resistance strategies included staying on the land and building independent economies. Overall, this study illustrates the importance of considering a more comprehensive set of resistance strategies in contexts of long-standing colonial oppression to recognize oppressed groups' agency and provide a better understanding of how people undermine destructive power.

Investigation on the Effect of Energy Release Rate of Aluminized Explosive on the Damage of Underwater Targets

AbstractAs a type of high‐energy explosive, aluminized explosives are extensively used in underwater weapons and ammunition. This study aims to investigate the energy release rate on the damage of underwater targets caused by aluminized explosives (RDX/Al). The ship was selected as a target, and numerical simulations were conducted using AUTODYN software to study the energy release rate corresponding to different particle sizes of aluminum powder (25 nm −300 μm) in the underwater explosion process of RDX/Al, as well as its destructive effect on targets in the water. The research quantitatively evaluates the whole ship′s destruction results, including longitudinal bending deformations and crevasse. In addition, typical cabins were selected in this study to assess the local damage effects by analyzing stress, shock wave pressure, displacement, and acceleration shock response. Based on the damage results, it was revealed that RDX/Al with aluminum powder particle sizes ranging from 54 nm to 145 nm exhibited the most optimal damaging effects on ships after underwater explosions. These findings provide a basis for improving the destructive power of aluminized explosives against underwater targets, simultaneously, they can be utilized by ship designers to guide research and development of improved protective measures, aiming to reduce the vulnerability of ships to explosive attacks.

Identification of Potential Landslides in the Gaizi Valley Section of the Karakorum Highway Coupled with TS-InSAR and Landslide Susceptibility Analysis

Landslides have become a common global concern because of their widespread nature and destructive power. The Gaizi Valley section of the Karakorum Highway is located in an alpine mountainous area with a high degree of geological structure development, steep terrain, and severe regional soil erosion, and landslide disasters occur frequently along this section, which severely affects the smooth flow of traffic through the China-Pakistan Economic Corridor (CPEC). In this study, 118 views of Sentinel-1 ascending- and descending-orbit data of this highway section are collected, and two time-series interferometric synthetic aperture radar (TS-InSAR) methods, distributed scatter InSAR (DS-InSAR) and small baseline subset InSAR (SBAS-InSAR), are used to jointly determine the surface deformation in this section and identify unstable slopes from 2021 to 2023. Combining these data with data on sites of historical landslide hazards in this section from 1970 to 2020, we constructed 13 disaster-inducing factors affecting the occurrence of landslides as evaluation indices of susceptibility, carried out an evaluation of regional landslide susceptibility, and identified high-susceptibility unstable slopes (i.e., potential landslides). The results show that DS-InSAR and SBAS-InSAR have good agreement in terms of deformation distribution and deformation magnitude and that compared with single-orbit data, double-track SAR data can better identify unstable slopes in steep mountainous areas, providing a spatial advantage. The landslide susceptibility results show that the area under the curve (AUC) value of the artificial neural network (ANN) model (0.987) is larger than that of the logistic regression (LR) model (0.883) and that the ANN model has a higher classification accuracy than the LR model. A total of 116 unstable slopes were identified in the study, 14 of which were determined to be potential landslides after the landslide susceptibility results were combined with optical images and field surveys. These 14 potential landslides were mapped in detail, and the effects of regional natural disturbances (e.g., snowmelt) and anthropogenic disturbances (e.g., mining projects) on the identification of potential landslides using only SAR data were assessed. The results of this research can be directly applied to landslide hazard mitigation and prevention in the Gaizi Valley section of the Karakorum Highway. In addition, our proposed method can also be used to map potential landslides in other areas with the same complex topography and harsh environment.

1890년대-1930년대 조선 지식인들의 프랑스혁명 독해법

The fundamental goal of this article is to fill the void of poor prior research and stimulate further research. The main issue is, first, to apply into the context of the time and analyze various types of texts referring to the French Revolution from the late 19th century to the early 20th century. In that extension, it tracks the changes in the views and historical perspectives of Joseon/Korean intellectuals who lived in a radical transition period leading to the period of King Gojong, the Korean Empire, and the colony on the French Revolution. In addition, the discourse on the French Revolution formed and shared by Joseon intellectuals in the 1890s and 1930s is briefly compared with that of contemporary Chinese and Japanese intellectuals to gauge the worldview of contemporary East Asian intellectuals in the West. The achievements of this study are as follows. First, reformist intellectuals during the period of King Gojong-the Korean Empire represented by Yoo Gil-jun and Yoon Chi-ho were also afraid of active discussion of the French Revolution and acquisition of its historical lessons. Second, intellectuals during the period of cultural governance tried to approach the French Revolution ‘from below’, paid attention to its creative destructive power, and learned its democratic character. Third, Joseon’s modern women welcomed the French Revolution as a successful example of the modern feminine movement, and made it a lesson to overcome the ‘women’s panic era’ in which old women and new women conflict. Fourth, some intellectuals appropriated ‘La Marseillaise’, a military song and national song of the French Revolution, in a way that supported Japanese militarism and promoted totalitarian fascism. It can be seen that the framework for interpretation of the French Revolution during the colonial period shifted from ‘left to right’.

Dynamics of rain-triggered lahars and destructive power inferred from seismo-acoustic arrays and time-lapse camera correlation at Volcán de Fuego, Guatemala

AbstractLahars, or volcanic mudflows, are one of the most devastating natural, volcanic hazards. Deadly lahars, such as the one that occurred after the Nevado del Ruiz, Columbia eruption in 1985, in which at least 23,000 people tragically lost their lives, threaten the safety and well-being of humans, the economy, and the infrastructure of many of the communities living in the vicinity of volcanoes. Due to their complex flow behaviors, lahars remain a major challenge to those studying them. We present an analysis of several rain-triggered lahar events at Volcán Fuego in Guatemala using both seismic and infrasound monitoring to quantify both ground vibrations and low-frequency atmospheric sound waves associated with these mudflows. Geophysical data collected over this field campaign quantifies flow parameters such as velocities, stage and the frequency of these rain-triggered lahars. Time-lapse imagery of lahar flows is compared with filtered seismo-acoustic signal characteristics to ascertain stage predictions and relationship to stage fluxes. Using random forest regression models, we establish moderate correlations (correlation coefficient modes 0.48–0.53) with statistical significance (p value = 0.01–0.02) between signal energetics and respective stage. Compiling a catalog of rain-triggered lahar events in Volcán de Fuego’s drainages over a season permits a dataset amenable to statistical analysis. Our goal is the development of new-generation geophysical monitoring tools that will be capable of remote and real-time estimation of flow parameters.