Gestalt Psychology Research Articles

Three-Dimensional Flutter Numerical Simulation of Wings in Heavy Gas and Transonic Flutter Similarity Law Correction Method

Wind tunnel testing is a crucial method for studying aircraft flutter. Using heavy gas as the wind tunnel medium can mitigate the escalating issue of test models being overweight as advanced aircraft develop. This paper employs an analytical method for numerical calculations of three-dimensional (3D) wing flutter based on fluid–structure interaction (FSI). Flutter calculations for the Goland wing are conducted, and the results in the air medium are consistent with the literature. In contrast, significant differences in flutter behavior are observed in the heavy gas R134a medium. Compared to air, when the model reaches a critical state in R134a, the incoming flow velocity is lower, the incoming flow density is approximately 3 to 5 times air, and the incoming flow dynamic pressure is about 1.1 to 1.2 times that of air. The correction of heavy gas flutter data is crucial for wind tunnel testing. This paper proposes a correction method based on the unsteady transonic flow similarity law proposed by Bendiksen under quasi-steady conditions. Attempts are made to revise relevant published wind tunnel tests and heavy gas flutter calculation results. The transonic flutter similarity law effectively explains the flutter similarity of rigid models in both heavy gas and air media. Still, it fails in cases with highly reduced frequencies and low mass ratios, such as those encountered with flexible wings.

Simondon’s Heterodox Naturalism: Form, Information and Self-Organization in Imagination and Invention

This article presents Simondon’s psycho-biological thinking as a type of heterodox naturalism centring on the self-organizing activity of vital forms. Despite his critique of classic notions of form, notably Aristotelian hylomorphism, Simondon revises this concept through a critical expansion and synthesis of information theory and Gestalt psychology. In his lecture series Imagination and Invention (1965–6) in particular, he develops an account of psycho-biological activity as governed by what he calls ‘images’: relatively autonomous informational sub-systems that serve to regulate the relationship between organism and environment and that constitute the condition for creative action or invention. Focusing on his analysis of the individualization of perceptual objects, the article goes on to show that ‘forms’ for Simondon feature as emergent properties of quantum thresholds of ‘information’ within these systems. It also argues that such a conception offers a more promising alternative to both idealist philosophies of perception and materialist interpretations of deconstruction.

Hans-Heinrich Dittrich: Gestalt-Prinzipien als Inspiration

Hans-Heinrich Dittrich works as a freelance artist in Bonn. When designing his work, he draws on his studies in psychology and his many years of work as a qualified psychologist to examine the findings of Gestalt psychology and its significance for the visual arts.

Accurate identification of moving vehicle loads on beam-like bridge structures integrating novel PCA-based dictionary with grouping and weighting strategy

Most moving load identification (MLI) methods incorporate the dictionary theory as a regularization technique to address the ill-posedness of the problem. However, the selection of atoms in the dictionary often inadequately represents the actual vehicle loads in existing methods, and the prior information from these atoms is disregarded in the subsequent MLI computations. Therefore, a novel MLI framework is proposed for beam-like bridge structures based on a novel dictionary derived from principal component analysis (PCA) and newly grouping and weighting strategy in this study. At first, a vehicle-bridge coupling system (VBCS) is established to obtain the interaction forces between the moving vehicles and bridge deck. The system matrices between the interaction forces and structural responses are derived in the time domain. The PCA technique is then employed to extract information from these interaction forces and to subsequently construct a PCA-based dictionary. Based on the eigenvalues of each principal component in the dictionary, a weighted group sparse model, incorporating the newly grouping and weighting strategy, is defined to obtain the coefficients of each atom. The solution to this model is obtained using the alternating direction method (ADM). Finally, the proposed method is validated in numerical simulations comparing with some existing methods. The effects of noise levels, road surface roughness, number of training data, response combinations and the tolerances in ADM were also studied. Similarity law for the VBCS is conducted in experimental verifications to construct the PCA-based dictionary, allowing for a reasonable identification of gross vehicle weights. The results indicate that the MLI accuracy has been enhanced by the proposed method, and the similarity law employed in experiments is reasonable. Settingthe tolerance in ADM as ε = 1 × 10−5 can lead to a higher accuracy and reduce the computation cost in both numerical simulations and experimental verifications.

Research on a Multi-Scale Clustering Method for Buildings Taking into Account Visual Cognition

Building clustering is a key problem that needs to be solved in the realization of the automatic synthesis of large-scale maps. The selection of different feature and spatial distance calculation methods has a great impact on the clustering results, and the need to manually select appropriate feature and distance metrics leads to the problem of not being able to fully consider the complexity and diversity of buildings. In this paper, we propose a multi-scale clustering method for buildings that takes visual perception into account using the Gestalt principle to simulate how humans classify buildings through visual perception. Moreover, by analyzing the spatial features and texture attributes of buildings, a visual distance is designed to be used as a condition for building classification to assess the similarity between buildings, solving the complexity of manually selecting feature vectors and spatial distances and realizing the adaptive selection of features. Through experimental validation at different scales (macro, meso and micro), the present method is able to achieve the accurate clustering of buildings, and a frequency threshold of 91% is found, which is able to determine the optimal clustering results. The experimental results show that the proposed method can not only fully consider the complexity and diversity of buildings but also effectively support the understanding and analysis of urban spatial structure and provide a scientific decision-making basis for urban planning and management.

Local contour features contribute to figure-ground segregation in monkey V4 neural populations and human perception

Figure-ground (FG) segregation is a crucial step towards the recognition of objects in natural scenes. Gestalt psychologists have emphasized the importance of contour features in perception of FG. Recent electrophysiological studies have identified a neural population in V4 that shows FG-dependent modulation (FG neurons). However, whether the contour features contribute to the modulation of the response patterns of the neural population remains unclear. In the present study, we quantified the contour features associated with Gestalt factors in local natural stimuli and examined whether salient contour-features evoked reliable perceptual and neural responses by analyzing response consistency (stability) across trials. The results showed the tendency that the more salient contour-features evoked the greater consistencies in the perceptual FG judgments and population-based neural responses in FG determination; a greater partial correlation for curvature and weaker correlations for closure and parallelism. Multiple linear regression analyses demonstrated that the perceptual consistency depended similarly on curvature and closure, and the neural consistency depended significantly on curvature but weakly on closure. We further observed a strong correlation between the consistencies in the perceptual and neural responses, i.e., stimuli that evoked more stable percepts tended to evoke more stable neural responses. These results indicate that local contour-features modulate the responses of the neural population in V4 and contribute to the perception of FG organization.

Analysis of the Laws of Planar Composition in Interior Design

The purpose of this paper is to discuss the laws of planar composition in interior design, analyze the role and use of basic elements such as points, lines and surfaces in interior design, as well as the analysis of the laws of composition such as contrast and symmetry, proportion and balance, rhythm and repetition. Firstly, the thesis introduces the importance of points, lines and surfaces as constituent elements in interior design, and discusses their influence on spatial atmosphere, visual effect and overall sense. Secondly, through the analysis of the compositional laws of contrast and symmetry, proportion and balance, rhythm and repetition, the paper elaborates on the principles and effects of the application of these laws in interior design. Then, the thesis discusses the application of planar composition in different styles, including modern minimalist style, European classical style, Chinese traditional style, etc., showing the characteristics and design techniques of planar composition in different styles. Finally, the paper discusses the optimal use of interior space from the perspective of plane composition, emphasizing the importance of the unity of functionality and aesthetics, spatial layout and flow design, and the collocation of materials and colors. Through in-depth analysis of the laws of plane composition in interior design, this paper aims to provide designers with certain theoretical guidance and practical reference, with a view to achieving better design effects and space utilization.

Evaluation of wind-induced response of high-rise structure with TMD system by real-time hybrid simulation test with motor-driven shaking table

Due to the difficulty in constructing the small-scaled model of tuned mass damper (TMD) system to meet the requirement of dynamic similarity law, it is hard to evaluate the vibration control effect of passive TMD system on the wind-induced response of high-rise structure by wind tunnel test. The Real-Time Hybrid Simulation (RTHS) test could provide a suitable solution to this problem by increasing the size of the scaled TMD model to overcome the limitation in dynamic similarity law. A RTHS test system with a linear electric motor-driven shaking table was developed by the interface with model interface toolkit in general real time system operating environment. Taking the Guangzhou New TV Tower with a passive TMD system as an example, the Finite Element (FE) model of Guangzhou New TV Tower was selected as the numerical substructure and TMD system was selected as the experimental substructure, the RTHS test was conducted at a sampling frequency of 250 Hz to estimate the wind-induced response of this high-rise structure with a TMD system in various dynamic wind loading cases. To reduce the time delay effect generated by the nonlinear interaction between motion control system and experimental substructure, the adaptive time series (ATS) compensator for time delay compensation was proposed in the RTHS test. The RTHS results were also compared with the numerical simulation results using the FE model of the investigated object. The RTHS test with additional ATS time delay compensator can obtain more accurate experimental results. The effectiveness of the proposed RTHS test system was testified to be powerful test system to evaluate the wind-induced response of high-rise structures with complex passive TMD system.

Coherence via focusing for symmetric skew monoidal and symmetric skew closed categories

Abstract The symmetric skew monoidal categories of Bourke and Lack are a weakening of Mac Lane’s symmetric monoidal categories where (i) the three structural laws of left and right unitality and associativity are not required to be invertible, they are merely natural transformations with a specific orientation; (ii) the structural law of symmetry is a natural isomorphism involving three objects rather than two. In a similar fashion, symmetric skew closed categories are a weakening of de Schipper’s symmetric closed categories with non-invertible structural laws of left and right unitality. In this paper, we study the structural proof theory of symmetric skew monoidal and symmetric skew closed categories, progressing the project initiated by Uustalu et al. on deductive systems for categories with skew structure. We discuss three equivalent presentations of the free symmetric skew monoidal (resp. closed) category on a set of generating objects: a Hilbert-style categorical calculus; a cut-free sequent calculus; a focused subsystem of derivations, corresponding to a sound and complete goal-directed proof search strategy for the cut-free sequent calculus. Focusing defines an effective normalization procedure for maps in the free symmetric skew monoidal (resp. closed) category, as such solving the coherence problem for symmetric skew monoidal (resp. closed) categories.

A design method of large-scale partial similar model test for cementing casing string system

When the cementing casing string system (CCSS) is subjected to a large-scale equal-scale model test, the huge aspect ratio of the system makes the wall thickness of the model casing string too thin to be manufactured. Therefore, this paper proposes a design method for model test with unequal scale of axial size and radial size of the CCSS. Firstly, the dynamic model of the CCSS is established and solved by the transfer matrix method (TMM), and the modal test is carried out and the results show that the numerical calculation error of the first five natural frequencies of the system is less than 4 %. Then, based on the dynamic model, the similarity laws of the complete similarity model and the partial similarity model of the CCSS are derived by equation analysis method, and the design process of the similarity model test is given. The advantages of the research are elaborated in details through examples. To verify the correctness of the similarity model’s similarity laws of the CCSS, similarity models with different parameters are designed, and the prediction errors of prototype response are analyzed based on numerical calculations. The results show that the maximum prediction error of the first eight natural frequencies of the prototype system is less than 3 %, and the response prediction results of the system are also accurate. Finally, considering uncertain factors of the partial similarity test, the similarity model test with the axial size of double scale is designed, and the results show that the maximum prediction error of the first three natural frequencies is 7.06 %, which meets the engineering requirements. This study can provide useful theoretical guidance for the large-scale model test design of the CCSS.

Scaling design and similarity analysis of a floating nuclear power plant

In the process of developing floating reactor systems, their operation in the marine environment needs to be simulated to ensure the reliability of the safe design of nuclear reactors. Scaling test is a potential option for computer model validation by virtue of its low cost and flexibility. This study first gives the similarity law for dynamic tests of the reactor system in high-temperature environments by dimensional analysis. Then we focus on analyzing the jamming phenomenon that may occur during the similarity design process and provides a solution for realizing the contact state of the prototype in the scaled model. This study also analyzes the dynamic response of a floating reactor system under extreme operating conditions by combining numerical simulations and scaling tests. By comparing the response results predicted by the scaled model with the prototype response, it is further demonstrated that the feasibility of scaling test as an alternative to full-size test to provide a reference for realizing low-cost, accurate and safe design for reactor system.

Keep Calm and Carry on? Fissure, Perception, and Narrative Contestation Following the Demise of the Crown

Abstract On September 8, 2022, after more than 70 years on the throne, Queen Elizabeth II passed away. The responses among the public, media, and state institutions to the news were varied, with competing views on the role of the monarchy and the legacy of the queen. The questions this article seeks to answer are (1) how the monarch’s death introduced a fissure into the United Kingdom’s autobiographical narrative and (2) how exactly this moment led on the one hand to efforts to reaffirm the dominant UK autobiographical narrative and on the other to efforts to contest this narrative. In framing this analysis using Gestalt psychology, we theorize the role of perception in subjects’ experience of a fissure as well as their subsequent attempts to manage the ensuing anxieties. We show how perception enables and guides avenues for narrative contestation as well as conservative attempts to (re)establish the predominant autobiographical narrative by exploring how the government and the royal family sought to create a sense of continuity and transfer royal authority onto the next generation while activists attempted to subvert this established narrative to problematize the country’s (post)colonial history and societal inequalities.

Conceptual Framework of Gestalt Theory Observation and the Application of HOTS and Advanced Drawing Skills (ADS) in Visual Art Learning

Conceptual Framework of Gestalt Theory Observation and the Application of HOTS and Advanced Drawing Skills (ADS) in Visual Art Learning

The Gibsonian movement and Koffka’s Principles of Gestalt Psychology

In recent decades, several ecologically inclined authors have adopted the Gestalt idea of demand characters. Yet, James Gibson, the founder of the ecological approach, although being inspired by Koffka, was critical of many of his ideas, including the contention that the environment calls for certain actions. This article examines why Gibson was so reluctant to accept this concept of demand characters. To that end, the relationship between Gibson’s ecological approach and Gestalt psychology is scrutinized. After an exploration of the parallels between the frameworks of Gibson and Koffka, Gibson’s critique of Koffka’s masterpiece Principles of Gestalt Psychology is evaluated. It is argued that although Gibson’s claim about the mind–world dualism in which Koffka’s perspective is rooted is arguably valid, neither Gibson nor some of his recent devotees take Koffka’s insights into the qualities of experience sufficiently seriously in their theorizing.

Numerical Simulation of the Dynamics of RF Capacitive Discharge in Carbon Dioxide

In this research, the one-dimensional fluid code SIGLO-rf was used to study the internal parameters of RF capacitive discharge in carbon dioxide, focusing mainly on time-averaged and spatio-temporal distributions of discharge parameters. With the help of this code, in the range of distances between electrodes d = 0.04 – 8 cm, RF frequencies f = 3.89 – 67.8 MHz, and values of carbon dioxide pressure p = 0.1 – 9.9 Torr, averaged over the RF period axial profiles of the density of electrons, positive and negative ions were calculated as well as potential and electric field strength. It is shown that the discharge plasma in CO2 contains electrons, positive ions, as well as negative ions. The negative ions of atomic oxygen are formed by the dissociative attachment of electrons to CO2 molecules. Studies of the spatio-temporal dynamics of plasma parameters (electron density, potential and electric field strength, as well as ionization and attachment rates) in RF capacitive discharge in CO2 showed that during half of the RF period, 1 to 3 ionization bursts are usually observed. They correspond to stochastic heating in the near-electrode sheath and the formation of passive and active double layers near the sheath boundaries. The passive double layer appears in the cathode phase and maintains the discharge plasma. The active layer is formed in the anodic phase and ensures a balance of positive and negative charges escaping to the electrode during the RF period. It was found that when the conditions pd = 2 Torr cm and fd = 27.12 MHz cm are met simultaneously, during half of the RF period, 4 intense ionization peaks are observed: resulting from stochastic heating, passive, active, and additional (auxiliary) double layers. The auxiliary double layer helps bring electrons to the surface of the temporary anode and occurs near its surface inside the near-electrode sheath. Using the similarity law, the conditions for the existence of these 4 ionization peaks in a wide range of RF frequencies, carbon dioxide pressures, and distances between electrodes were verified.

Exploring the Power of Visual Aesthetics in Advertising

Marketing plays a crucial role in determining the success of any organisation. Businesses can achieve significant growth by implementing a strategy that prioritises the needs and preferences of their customers. A recent study has emphasised the crucial significance of visual attractiveness in attracting customer attention and involvement. A favourable aesthetic experience can enhance the user's involvement with the interface. This article seeks to examine the capacity of utilising visual aesthetics to mould brand identity, impact consumer perception, and affect behaviour in advertising campaigns. This study will use Gestalt theory principles to enable advertisers to create more impactful and captivating advertising that captures viewers' attention, facilitates information processing, and improves brand recall. The study will utilise a quantitative methodology, using data collected via a self-administered questionnaire. The data analysis will employ structural equation modelling (SEM). The study's findings will unquestionably equip advertising marketers to improve product promotion techniques and tailor advertising campaigns.

Numerical simulation and experimental study of the dynamic characteristics of a gas turbine rotor system with beam sea and head sea excitation

Vibration analysis is crucial for studying rotor dynamics. The gas turbine rotor system is subjected to complex alternating loads during navigation, resulting in vibrations transmitted to the bearings that alter the system’s dynamic characteristics. Based on the similarity law of the wave resistance test, a hull model was established. Beam sea and head sea tests were conducted in the towing pool to measure the acceleration response at the key positions. A finite element model of the turbine rotor system was established, and the test data were imported into the model after wavelet noise reduction and resampling to calculate the vibration response at the front and rear bearing points. The vibration responses transmitted to different locations and directions caused by beam sea and head sea conditions were analyzed. A comparison and analysis were conducted on the acceleration responses in various locations and directions under beam sea or head sea conditions. The equivalent von Mises stress distribution of the gas turbine rotor system under beam sea and head sea loads was obtained. The vibration transfer model was verified for accuracy and can be used to quickly analyze the vibration response of bearings under wave load transfer. This study provides a theoretical basis and reference for enhancing the stability of the gas turbine rotor system.

Nameplate Designs, Headline Point Sizes, and Colour on Nigerian Newspapers: A Study of Selected National Dailies

Nigerian newspapers are consciously adapting to visual design formats in their bid to appeal to consumers. These visual design methods involve the arrangement of page furniture, such as headlines, colour, and nameplates, in a way that is visually attractive and perceptive to the reader. This study sought to discover the current application of colour, headline typefaces, and point sizes, as well as nameplate designs, on four of the nation’s leading daily newspapers: <i>Vanguard, The Punch, Daily Sun, </i>and<i> Leadership, </i>from September 2014 to August 2015. Twenty-four issues of each of these titles were sampled for the study over a period of 12 months, from September 2014 to August 2015. These resulted in a sample frame of 96 issues of the selected newspapers. The population of the four daily newspapers during the period was 1,048, made up of 261 daily issues of <i>Vanguard</i>, 261 issues of <i>The Punch</i>, 263 issues of the <i>Daily Sun, </i>and 263 issues of <i>Leadership</i>. The study which was anchored in the Gestalt theory of visual perception adopted the visual analysis method of research. The methodology was chosen because it addresses a designer’s formal elements, such as visual attributes best explained in the form of colour, line, texture, and size. Data obtained from the sampled newspapers was analysed using Statistical Package for Social Sciences (SPSS) Version 20.0. The findings were that each of these newspapers paid attention to the design of its nameplate, printed the front and back pages in colour and applied bold headlines to attract the attention of readers during the period of the study.

Similarity law of global and local responses of reinforced concrete beams subjected to impact loading

In the experiment of scaled models to dealing with the impact of reinforced concrete large structures, the strain rate hardening effect can lead to significant differences between the dynamic responses of prototype and model. In the present study, this thorny problem is solved by adjusting the impact velocity. Based on the mechanisms of different dynamic responses, the similarity laws for the global and local responses of reinforced concrete beams subjected to impact loading are proposed by considering the strain-rate effect of materials through Buckingham Π-theorem, where constitutive models of different materials are employed for inferring dynamic stress. In dimensional analysis, multiple control factors need to be considered simultaneously, such as the strain-rate effects of steel and concrete, since reinforced concrete components are typical composite structures. The similarity law cannot be unified when considering multiple control factors. In view of this, it is recommended to estimate the dynamic response of reinforced concrete components subjected to impact loading through the upper and lower bounds of similarity law. The upper bound of similarity law is based on the strain-rate effect of concrete, while the lower bound of similarity law is based on the strain-rate effect of steel bar. The numerical models of reinforced concrete beams are established based on the experimental background. The numerical simulations with different scaling factors indicate that the model modified by the lower bound of similarity law can better predict the global response of prototype, while the model modified by the upper bound of similarity law can more accurately predict the local response of prototype. In addition, the influence of dynamic elastic modulus of reinforced concrete on the similarity law is discussed through comparative analysis.

Analyzing the Impact of Aesthetic Anthropology on Art Appreciation Through the Lens of Gestalt Psychology

Historically, art appreciation has been considered an elite activity, often requiring extensive knowledge and expertise. However, this perspective has evolved over time. This paper explores the innovative integration of anthropology and psychology with art, focusing on how these disciplines can make art more accessible to ordinary people. By applying Gestalt theory to everyday aesthetic activities, this study reveals how abstract concepts can become universal and relatable. Case studies of Antonio Canova's "Psyche Revived by Cupid's Kiss" and Picasso's "Bull" series show that viewers can understand and resonate with artistic themes even without extensive knowledge. Additionally, this paper examines how social and cultural contexts influence aesthetic experiences from the perspective of aesthetic anthropology, particularly "contextual aesthetics." The findings highlight the importance of removing barriers to art appreciation, encouraging active participation and subjective interpretation, and promoting inclusive and dynamic artistic expressions. The study also acknowledges the limitations of sample diversity and reliance on qualitative analysis, recommending that future research incorporate quantitative methods to obtain more reliable data.