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57,069 result(s) for "truss"
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Ten years to save the west : leading the revolution against globalism, socialism, and the liberal establishment
\"Can the west be saved? That's an open question, warns Liz Truss, former conservative prime minister. In her ten years at the highest levels of the British government, Liz Truss often found that she was the only conservative in the room. She witnessed, first hand, the machinations of the Global Left, who would like nothing more than to impose corporate state socialism on the world. Freedom is at risk, she warns, and the Conservative Party in Britain--and the Republican Party in the United States--urgently need to shape up and defend it. The problem? Conservatives have accepted too many of the Left's talking points, allowed the Left to set the political agenda, and then capitulated whenever the Left has sought to impose bigger government and curtail individual freedoms. The authoritarian excesses during the Covid-19 lockdowns should have been a stark warning. They were a precursor of things to come--if conservatives waffle on principles, surrender on policy, and abandon the electorate to the tender mercies of the Left. Urgent, detailed, and full of insights gleaned from the highest levels of politics, Liz Truss's warning to the West cannot be ignored\"-- Book jacket.
Inverting the structure–property map of truss metamaterials by deep learning
Inspired by crystallography, the periodic assembly of trusses into architected materials has enjoyed popularity for more than a decade and produced countless cellular structures with beneficial mechanical properties. Despite the successful and steady enrichment of the truss design space, the inverse design has remained a challenge: While predicting effective truss properties is now commonplace, efficiently identifying architectures that have homogeneous or spatially varying target properties has remained a roadblock to applications from lightweight structures to biomimetic implants. To overcome this gap, we propose a deep-learning framework, which combines neural networks with enforced physical constraints, to predict truss architectures with fully tailored anisotropic stiffness. Trained on millions of unit cells, it covers an enormous design space of topologically distinct truss lattices and accurately identifies architectures matching previously unseen stiffness responses. We demonstrate the application to patient-specific bone implants matching clinical stiffness data, and we discuss the extension to spatially graded cellular structures with locally optimal properties.
Lightweight, flaw-tolerant, and ultrastrong nanoarchitected carbon
It has been a long-standing challenge in modern material design to create low-density, lightweight materials that are simultaneously robust against defects and can withstand extreme thermomechanical environments, as these properties are often mutually exclusive: The lower the density, the weaker and more fragile the material. Here, we develop a process to create nanoarchitected carbon that can attain specific strength (strength-to-density ratio) up to one to three orders of magnitude above that of existing micro- and nanoarchitected materials. We use two-photon lithography followed by pyrolysis in a vacuum at 900 °C to fabricate pyrolytic carbon in two topologies, octet- and iso-truss, with unit-cell dimensions of ∼2 μm, beam diameters between 261 nm and 679 nm, and densities of 0.24 to 1.0 g/cm³. Experiments and simulations demonstrate that for densities higher than 0.95 g/cm³ the nanolattices become insensitive to fabrication-induced defects, allowing them to attain nearly theoretical strength of the constituent material. The combination of high specific strength, low density, and extensive deformability before failure lends such nanoarchitected carbon to being a particularly promising candidate for applications under harsh thermomechanical environments.
Design and research of telescopic arm of platform truss robot for building machine
To improve the performance of the truss robot and guide the subsequent design of the telescopic arm of the truss robot under different working conditions, the working principle of the telescopic arm of the truss robot is introduced, and a mathematical model for the size optimization of the telescopic arm is established under a given working condition with the goal of minimizing the mass of the telescopic arm and ensuring that the telescopic arm has a certain stiffness. According to the optimized dimension parameters, the prototype of the telescopic arm of the platform truss robot is manufactured and run.
Experimental investigation of a hybrid steel truss reinforced concrete beam for aerospace shelters
This paper illustrates experimentally the significance of using hybrid steel truss reinforced concrete beam (HSTRCB) in the construction of aerospace shelters. A finite element analysis was carried out in a previous stage to compare the flexural behaviour of HSTRCB with steel truss beams (without concrete casting) and traditional reinforced concrete beams. The Finite element simulations showed a significant improvement in the flexural behaviour of the HSTRCB. In this paper two beams were tested by 4-point bending test. The first is standard reinforced concrete beam. The other is HSTRCB with steel angles as top and bottom reinforcement. Stirrups were replaced by vertical steel plates. Flexural behaviour was represented by the load-deflection curves. Results showed that the adhesion strength between steel truss members and concrete should be enhanced. Failure occurred due to slippage between steel truss elements and concrete. Moreover, HSTRCB showed a noticeable improvement in the ductile behaviour for the zone after the ultimate capacity.
Internal Force Distribution Characteristics of Top-Chord-Free Vierendeel-Truss Composite Slab
In modern construction, there is a growing demand for floor systems that offer high spatial efficiency and easy integration of mechanical, electrical, and plumbing (MEP) services. The top-chord-free Vierendeel-truss composite slab (TVCS), which omits the steel top chord and diagonal webs, presents a promising solution by maximizing usable vertical space and accommodating large ducts. Due to the elimination of the steel top chord and diagonal web members, the TVCS differs significantly in structural composition from conventional steel truss–concrete composite floor systems. At present, there is a lack of in-depth research on the mechanical behavior and deformation characteristics of this type of floor system. This study aims to fill this gap by systematically investigating the internal force distribution characteristics of TVCS and establishing a simplified analytical approach for practical engineering. This paper first employs the finite element method to conduct a comprehensive analysis of the bending moments, shear forces, and axial forces in each component of this composite floor system. The results indicate that the internal force distribution in TVCS exhibits substantial differences compared to that in conventional truss-composite floor systems: certain chord members exhibit inflection points; abrupt changes in internal forces occur between adjacent chord segments; and significant differences exist between the internal forces in members near the supports and those near mid-span. For instance, a distinct difference is that chord segments adjacent to the supports contain inflection points, while those near mid-span do not. Subsequently, simplified formulas for calculating the internal forces in the TVCS are proposed and validated against experimental and numerical analysis results. The main technical contribution of this work is providing a practical and efficient calculation tool that simplifies the design process for TVCS, facilitating its safer and wider application.
Deep Neural Network and Evolved Optimization Algorithm for Damage Assessment in a Truss Bridge
In Structural Health Monitoring (SHM) of bridges, accurately assessing damage is critical to maintaining the safety and integrity of a structure. One of the primary challenges in damage assessment is the precise localization and quantification of defects, which is essential for making timely maintenance decisions and reducing the risk of structural failures. This paper introduces a novel damage detection method for SHM of a truss bridge by coupling a Deep Neural Network (DNN) model with an evolved Artificial Rabbit Optimization (EVARO) algorithm. The integration of DNN with the stochastic search capability of the EVARO algorithm helps to avoid local minima, thereby ensuring more accurate and reliable results. Additionally, the optimization algorithm’s effectiveness is further enhanced by incorporating evolving predator features and the Cauchy motion search mechanism. The proposed method is first validated using various data benchmark problems, demonstrating its effectiveness compared to other well-known algorithms. Secondly, a case study involving the Chuong Duong truss bridge under different simulated damage scenarios further confirms the superiority of the proposed method in both localizing and quantifying damages.
Trusses: Between braces and rings
In an attempt to understand the origins and the nature of the law binding two group operations together into a skew brace, introduced by Guarnieri and Vendramin as a non-Abelian version of the brace distributive law of Rump and Cedó, Jespers, and Okniński, the notion of a skew truss is proposed. A skew truss consists of a set with a group operation and a semigroup operation connected by a modified distributive law that interpolates between that of a ring and a brace. It is shown that a particular action and a cocycle characteristic of skew braces are already present in a skew truss; in fact the interpolating function is a 11-cocycle, the bijecitivity of which indicates the existence of an operation that turns a truss into a brace. Furthermore, if the group structure in a two-sided truss is Abelian, then there is an associated ring—another feature characteristic of a two-sided brace. To characterize a morphism of trusses, a pith is defined as a particular subset of the domain consisting of subsets termed chambers, which contains the kernel of the morphism as a group homomorphism. In the case of both rings and braces piths coincide with kernels. In general the pith of a morphism is a subsemigroup of the domain and, if additional properties are satisfied, pith is an N+{\\mathbb N}_+-graded semigroup. Finally, giving heed to ideas of Angiono, Galindo, and Vendramin, we linearize trusses and thus define Hopf trusses and study their properties, from which, in parallel to the set-theoretic case, some properties of Hopf braces are shown to follow.
Biden on Truss resignation: ‘She was a good partner’
On Oct. 20, President Biden thanked outgoing British Prime Minister Liz Truss for her partnership.
Lettuce remember Liz Truss’s short tenure as British leader
The shortest-serving prime minister in British history, Liz Truss, lasted 44 days as leader and lost a Daily Star contest against a head of lettuce.