1,721,916 research outputs found
Evaluating Impressions on Urban Transportation Networks via Seaport-Induced Traffic
No full textThe article's main objective is to analyse the impacts of the heavy goods vehicle traffic generated by the two seaport terminals of the city of Genova and provide a virtual traffic calming technique to ease the burden on the surrounding urban road network. Authors exhibit the impressions of the heavy good vehicular traffic induced by the port operation via a macroscopic simulation model developed in PTV Visum software. Then based on the observed traffic flows four critical road segments are identified in the network where the macroscopic fundamental parameters are analysed by increasing the heavy good vehicles traffic generating four different scenarios. Later an optimal virtual traffic-calming scheduling technique is proposed and implemented in the simulation environment revealing an impressive uplift in the traffic performance of the critical road segments
ANALYSING CORROSION OF REINFORCED CONCRETE ELEMENTS IN CRACKED STAGE UNDER SUSTAINED LOADS
Full text linkLa corrosione delle barre di armatura (ferri) nelle strutture in calcestruzzo armato (CA) è un fattore critico che influisce sulla durabilità a lungo termine e sulla vita utile,in particolare in ambienti aggressivi come gli ambienti marini o le aree esposte a sali de-ceranti. Queste condizioni facilitano l'ingresso di ioni cloruro, che accelerano il processo di corrosione fornendo un percorso diretto per la penetrazione del cloruro nell'armatura. La corrosione indebolisce la capacità portante dell'armatura e compromette l'integrità strutturale. Sebbene siano state condotte ricerche significative sulla corrosione nelle strutture in CA, l'influenza delle fessure sull'iniziazione e sulla propagazione della corrosione, in particolare negli ambienti
indotti dal cloruro, è ancora poco compresa. Questa tesi affronta questa lacuna investigando l'effetto della larghezza della fessura sul comportamento della corrosione, concentrandosi sulla cinetica della corrosione e sulle prestazioni meccaniche dell'armatura in elementi in CA esposti a condizioni di corrosione accelerate. A tale scopo, sono stati realizzati 31 provini a trazione (90 x 90 x 830 mm) in alcestruzzo di classe C30/37, armati con barre nervate Ø12 mm in acciaio laminato
a caldo. I provini sono stati pre-fessurati per indurre diverse larghezze di fessura e sottoposti a test di corrosione accelerata sotto cicli umido-secco, con esposizione a una soluzione di cloruro (35 g/l) simulante le condizioni di esposizione reali. I risultati hanno mostrato che l'iniziazione della corrosione è avvenuta in tutti i provini già dal primo ciclo, senza ritardi nell'inizio della corrosione ndipendentemente dalla larghezza della fessura. Durante la fase di propagazione della corrosione, non è emersa una relazione lineare chiara tra la larghezza della fessura e la profondità delle pitting, con una variabilità osservata. Tuttavia, sia la profondità massima della pitting che la profondità media della pitting tendono ad aumentare con l'aumento
della larghezza della fessura. Le pitting più profonde e le maggiori profondità medie delle pitting sono state osservate nei provini con barre di armatura cedute. I test meccanici sulle barre di armatura corrose hanno rivelato che la resistenza ultima è stata solo marginalmente influenzata, ma la duttilità è stata significativamente
ridotta, specialmente nei provini con fessure più larghe e quelli sottoposti a livelli di deformazione più elevati. Nei provini con deformazione del 5‰, la perdita di duttilità ha raggiunto il 74%, evidenziando un serio rischio di rottura fragile sotto carichi di servizio.The corrosion of reinforcement bars (rebars) in reinforced concrete (RC) structures is a critical factor affecting the long-term durability and service life, particularly in aggressive environments such as marine environments or areas exposed to de-icing salts. These conditions facilitate chloride ion ingress, which accelerates the corrosion process by providing a direct pathway for chloride penetration to reinforcement. Corrosion weakens the load-bearing capacity of reinforcement and compromises structural integrity. While significant research has been conducted on corrosion in RC structures, the influence of cracks on corrosion initiation and propagation, particularly in chloride-induced environments, remains poorly understood. This thesis addresses this gap by investigating the effect of crack width on corrosion behaviour, focusing on corrosion kinetics and the mechanical performance of reinforcement in RC elements exposed to accelerated corrosion conditions. For this purpose, A 31 tension tie specimens (90 x 90 x 830 mm) were cast using grade C30/37 concrete and reinforced with Ø12 mm hot-rolled ribbed bars. The specimens were pre-cracked to induce varying crack widths and subjected to accelerated corrosion testing under wet and dry cycles, with exposure to a chloride solution (35 g/l) simulating real-world exposure conditions. The results showed corrosion initiation occurred in all specimens from the first cycle, with no delay in corrosion start regardless of crack width. During the corrosion propagation phase, there was no clear linear relationship between crack width and pitting depth, with wide variability observed. However, both maximum pit depth and mean pit depth tend to increase as crack width increases. The deepest pits and highest average pit depths were observed in specimens with yielded rebar. The mechanical testing of corroded rebars revealed that the ultimate strength was only marginally affected, but ductility was significantly reduced, especially in specimens with wider cracks and those subjected to higher strain levels. In specimens with 5‰ strain, ductility loss reached up to 74%, highlighting a serious risk of brittle failure under service loads
Compound Impact on Private and Public Transport Network Performance on Integration of New Forms of Mobility
No full textContinued evolutions in autonomous drive technologies and pandemic leading to a boom in micro-mobility usage make these new forms of mobility an integral part of investigative research to assess their impacts on transportation networks. This research thesis examines their impacts in terms of: quantification of the penetration rate of autonomous vehicles (AVs), the influence of physical characteristics of the urban road network on macroscopic fundamental parameters
in heterogeneous traffic stream, inequities in travel costs equilibrium, assessment of public transport (PuT) network vulnerability against random service disruptions and importance of topography for accurate provision of micro-mobility services. Some benefits for 25-35% inclusion of AVs include enhanced network capacity, improvement in travel time, decrement in travel equilibrium costs. Whereas, the integrated micro-mobility modes reduce the commuter’s dis-utility and perceived journey times by 7.14% in case of disruptions. However, the spill-over effects are to watch out for
Storytelling with Technology-Enhanced Artefacts: A Literature Review of Toolkits for Children
No full textThis paper explores how technology-enhanced artefacts can augment storytelling experiences for pre-school and school-aged children, particularly when utilised with puppets or doll-like figures. It presents a systematic literature review focusing on this specific application of technology in storytelling. The analysis employs a four-lens framework to evaluate the integration of technology in children’s storytelling, assess the alignment with STEM learning goals, and finally, investigate the facilitation of open-ended and collaborative storytelling by children
Storytelling and Phygital Artefacts for Preschools: The Case Study of the Hat Atelier
No full textStorytelling is a powerful medium for young children’s development and education. Recent advancements have integrated storytelling with technologies embedded in artefacts, fostering new forms of interactions. Phygital artefacts without screens, blending physical and digital components, enable children to interact in telling and enacting stories together. This paper reports on a case study with 41 preschool children and their teachers, using hat prototypes for storytelling, with embedded programmable electronics. Children interacted with the phygital hats, exploring their inner workings, and were then invited to co-design them by imagining future artefacts. Data were processed to uncover lessons for designing future phygital artefacts for storytelling in preschools
Konsep KecantikanWaifu Karakter 2-Dimensi dalamFenomena Nijikon
No full textBILAL MUHAMMAD FIKRI. Konsep Kecantikan Waifu Karakter Dua Dimensidalam Fenomena Nijikon. (Dibimbing oleh Drs. Dias Pradadimara, M.A. danNursidah S.Pd., M.Pd.)Penelitian ini bertujuan untuk mengidentifikasi konsep cantik dan ideal bagipara nijikon atau pecinta dua dimensidan memahami karakter bishoujo dalam animasiJepang dan kriteria apa yang membuatnya ideal. Penelitian ini diharapkanmemberikan sebuah pemahaman terhadap keberadaan nijikon dalam definisi yanglebih sederhana serta akurat agar dapat dikaji lebih dalam untuk penelitian mengenaibudaya populer Jepang lebih lanjut.Penelitian ini menggunakan analisa tekstual ditunjang dengan penelitiansemiotika kebudayaan dan psikoanalisa dengan metode deskriptif kualitatif lalumembandingkannya tulisan maupun media yang telah diterbitkan sebelumnya.Hasil penelitian menunjukkan bahwa adanya beberapa ciri pada karakter duadimensi yang secara berangsur berkembang memenuhi ukuran kecantikan untukmenjadi suatu konsep cantikan yang ideal. Beberapa contoh yang menjadi konsepkecantikan karakter dua dimensi adalah: 1) umur waifu dan ukuran dada, 2)transformasi atau perubahan bentuk tubuh, 3) warna rambut dan warna mata, dan 4)serafuku dan Kehidupan Sekolah.xiii + 88 hlm
DeepILS: Toward Accurate Domain-Invariant AIoT-Enabled Inertial Localization System
No full textAccurate indoor localization and navigation enable real-time, ubiquitous, location-based services. Over the past decade, data-driven approaches for inertial odometry have shown the potential to enhance indoor positioning accuracy. However, low-cost inertial measurement units (IMUs), commonly used in smartphones and IoT devices, are prone to significant noise, leading to drift and degraded performance in navigation algorithms. This article presents a novel, lightweight, and real-time end-to-end framework, DeepILS Brossard et al., (2020), designed to process raw inertial data for precise pedestrian localization in indoor environments. DeepILS utilizes a residual network enhanced with channel-wise and spatial attention mechanisms, enabling accurate velocity and position estimation across diverse motion dynamics. The framework's effectiveness is validated using four benchmarks and two newly introduced datasets in real-time edge scenarios. These datasets were collected across diverse indoor environments at the KAIST campus and Incheon National Airport, using multiple hardware platforms, including the KAIST IoT positioning module and Android smartphones. Experimental results, including tests on unseen data and comprehensive ablation studies, demonstrate that DeepILS improves localization accuracy by 70% compared to state-of-the-art methods while effectively mitigating sensor noise and enhancing robustness in real-world environments. Specifically, DeepILS exhibits excellent edge performance on IoT devices, making it highly suitable for real-time applications.
Realization of the Penetration Rate of Automated Driving System-Equipped Vehicles in the Presence of CCAM Enabled New Mobility Services
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